Merge pull request #640 from exo-explore/simpledownload

Simple download
2025-10-23 02:57:14 +03:00 · 2025-01-27 19:38:11 +00:00
parent 903950f64e 7c649085a1
commit a0d673fa3a
23 changed files with 340 additions and 799 deletions
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -27,7 +27,7 @@ commands:
            fi

            # Start first instance
-            HF_HOME="$(pwd)/.hf_cache_node1" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \
+            EXO_HOME="$(pwd)/.exo_cache_node1" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \
              --node-id "node1" --listen-port 5678 --broadcast-port 5679 --chatgpt-api-port 8000 \
              --chatgpt-api-response-timeout 900 --disable-tui > output1.log &
            PID1=$!
@@ -35,7 +35,7 @@ commands:
            TAIL1=$!

            # Start second instance
-            HF_HOME="$(pwd)/.hf_cache_node2" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \
+            EXO_HOME="$(pwd)/.exo_cache_node2" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \
              --node-id "node2" --listen-port 5679 --broadcast-port 5678 --chatgpt-api-port 8001 \
              --chatgpt-api-response-timeout 900 --disable-tui > output2.log &
            PID2=$!
--- a/.github/workflows/bench_job.yml
+++ b/.github/workflows/bench_job.yml
@@ -128,6 +128,7 @@ jobs:
            --interface-type-filter="${{ inputs.network_interface }}" \
            --disable-tui \
            --max-generate-tokens 250 \
+            --chatgpt-api-response-timeout 900 \
            --chatgpt-api-port 52415 > output1.log 2>&1 &
          PID1=$!
          
--- a/README.md
+++ b/README.md
@@ -212,9 +212,9 @@ exo run llama-3.2-3b --prompt "What is the meaning of exo?"

 ### Model Storage

-Models by default are stored in `~/.cache/huggingface/hub`.
+Models by default are stored in `~/.cache/exo/downloads`.

-You can set a different model storage location by setting the `HF_HOME` env var.
+You can set a different model storage location by setting the `EXO_HOME` env var.

 ## Debugging

--- a/exo/api/chatgpt_api.py
+++ b/exo/api/chatgpt_api.py
@@ -11,30 +11,27 @@ import aiohttp_cors
 import traceback
 import signal
 from exo import DEBUG, VERSION
-from exo.download.download_progress import RepoProgressEvent
 from exo.helpers import PrefixDict, shutdown, get_exo_images_dir
 from exo.inference.tokenizers import resolve_tokenizer
 from exo.orchestration import Node
-from exo.models import build_base_shard, model_cards, get_repo, pretty_name
+from exo.models import build_base_shard, build_full_shard, model_cards, get_repo, get_supported_models, get_pretty_name
 from typing import Callable, Optional
 from PIL import Image
 import numpy as np
 import base64
 from io import BytesIO
 import platform
+from exo.download.download_progress import RepoProgressEvent
+from exo.download.new_shard_download import delete_model
+import tempfile
+from exo.apputil import create_animation_mp4
+from collections import defaultdict

 if platform.system().lower() == "darwin" and platform.machine().lower() == "arm64":
  import mlx.core as mx
 else:
  import numpy as mx

-import tempfile
-from exo.download.hf.hf_shard_download import HFShardDownloader
-import shutil
-from exo.download.hf.hf_helpers import get_hf_home, get_repo_root
-from exo.apputil import create_animation_mp4
-from collections import defaultdict
-

 class Message:
  def __init__(self, role: str, content: Union[str, List[Dict[str, Union[str, Dict[str, str]]]]], tools: Optional[List[Dict]] = None):
@@ -277,41 +274,12 @@ class ChatGPTAPI:

  async def handle_model_support(self, request):
    try:
-      response = web.StreamResponse(status=200, reason='OK', headers={
-        'Content-Type': 'text/event-stream',
-        'Cache-Control': 'no-cache',
-        'Connection': 'keep-alive',
-      })
+      response = web.StreamResponse(status=200, reason='OK', headers={ 'Content-Type': 'text/event-stream', 'Cache-Control': 'no-cache', 'Connection': 'keep-alive' })
      await response.prepare(request)
-
-      async def process_model(model_name, pretty):
-        if model_name in model_cards:
-          model_info = model_cards[model_name]
-
-          if self.inference_engine_classname in model_info.get("repo", {}):
-            shard = build_base_shard(model_name, self.inference_engine_classname)
-            if shard:
-              downloader = HFShardDownloader(quick_check=True)
-              downloader.current_shard = shard
-              downloader.current_repo_id = get_repo(shard.model_id, self.inference_engine_classname)
-              status = await downloader.get_shard_download_status()
-
-              download_percentage = status.get("overall") if status else None
-              total_size = status.get("total_size") if status else None
-              total_downloaded = status.get("total_downloaded") if status else False
-
-              model_data = {
-                model_name: {
-                  "name": pretty, "downloaded": download_percentage == 100 if download_percentage is not None else False, "download_percentage": download_percentage, "total_size": total_size,
-                  "total_downloaded": total_downloaded
-                }
-              }
-
-              await response.write(f"data: {json.dumps(model_data)}\n\n".encode())
-
-      # Process all models in parallel
-      await asyncio.gather(*[process_model(model_name, pretty) for model_name, pretty in pretty_name.items()])
-
+      downloads = await self.node.shard_downloader.get_shard_download_status(self.inference_engine_classname)
+      for (path, d) in downloads:
+        model_data = { d.shard.model_id: { "downloaded": d.downloaded_bytes == d.total_bytes, "download_percentage": 100 if d.downloaded_bytes == d.total_bytes else 100 * float(d.downloaded_bytes) / float(d.total_bytes), "total_size": d.total_bytes, "total_downloaded": d.downloaded_bytes } }
+        await response.write(f"data: {json.dumps(model_data)}\n\n".encode())
      await response.write(b"data: [DONE]\n\n")
      return response

@@ -348,6 +316,7 @@ class ChatGPTAPI:
    progress_data = {}
    for node_id, progress_event in self.node.node_download_progress.items():
      if isinstance(progress_event, RepoProgressEvent):
+        if progress_event.status != "in_progress": continue
        progress_data[node_id] = progress_event.to_dict()
      else:
        print(f"Unknown progress event type: {type(progress_event)}. {progress_event}")
@@ -574,46 +543,19 @@ class ChatGPTAPI:
      return web.json_response({"detail": f"Error processing prompt (see logs with DEBUG>=2): {str(e)}"}, status=500)

  async def handle_delete_model(self, request):
+    model_id = request.match_info.get('model_name')
    try:
-      model_name = request.match_info.get('model_name')
-      if DEBUG >= 2: print(f"Attempting to delete model: {model_name}")
-
-      if not model_name or model_name not in model_cards:
-        return web.json_response({"detail": f"Invalid model name: {model_name}"}, status=400)
-
-      shard = build_base_shard(model_name, self.inference_engine_classname)
-      if not shard:
-        return web.json_response({"detail": "Could not build shard for model"}, status=400)
-
-      repo_id = get_repo(shard.model_id, self.inference_engine_classname)
-      if DEBUG >= 2: print(f"Repo ID for model: {repo_id}")
-
-      # Get the HF cache directory using the helper function
-      hf_home = get_hf_home()
-      cache_dir = get_repo_root(repo_id)
-
-      if DEBUG >= 2: print(f"Looking for model files in: {cache_dir}")
-
-      if os.path.exists(cache_dir):
-        if DEBUG >= 2: print(f"Found model files at {cache_dir}, deleting...")
-        try:
-          shutil.rmtree(cache_dir)
-          return web.json_response({"status": "success", "message": f"Model {model_name} deleted successfully", "path": str(cache_dir)})
-        except Exception as e:
-          return web.json_response({"detail": f"Failed to delete model files: {str(e)}"}, status=500)
-      else:
-        return web.json_response({"detail": f"Model files not found at {cache_dir}"}, status=404)
-
+      if await delete_model(model_id, self.inference_engine_classname): return web.json_response({"status": "success", "message": f"Model {model_id} deleted successfully"})
+      else: return web.json_response({"detail": f"Model {model_id} files not found"}, status=404)
    except Exception as e:
-      print(f"Error in handle_delete_model: {str(e)}")
-      traceback.print_exc()
-      return web.json_response({"detail": f"Server error: {str(e)}"}, status=500)
+      if DEBUG >= 2: traceback.print_exc()
+      return web.json_response({"detail": f"Error deleting model: {str(e)}"}, status=500)

  async def handle_get_initial_models(self, request):
    model_data = {}
-    for model_name, pretty in pretty_name.items():
-      model_data[model_name] = {
-        "name": pretty,
+    for model_id in get_supported_models([[self.inference_engine_classname]]):
+      model_data[model_id] = {
+        "name": get_pretty_name(model_id),
        "downloaded": None,  # Initially unknown
        "download_percentage": None,  # Change from 0 to null
        "total_size": None,
@@ -659,7 +601,7 @@ class ChatGPTAPI:
      model_name = data.get("model")
      if not model_name: return web.json_response({"error": "model parameter is required"}, status=400)
      if model_name not in model_cards: return web.json_response({"error": f"Invalid model: {model_name}. Supported models: {list(model_cards.keys())}"}, status=400)
-      shard = build_base_shard(model_name, self.inference_engine_classname)
+      shard = build_full_shard(model_name, self.inference_engine_classname)
      if not shard: return web.json_response({"error": f"Could not build shard for model {model_name}"}, status=400)
      asyncio.create_task(self.node.inference_engine.shard_downloader.ensure_shard(shard, self.inference_engine_classname))

--- a/exo/download/download_progress.py
+++ b/exo/download/download_progress.py
@@ -1,4 +1,5 @@
 from typing import Dict, Callable, Coroutine, Any, Literal
+from exo.inference.shard import Shard
 from dataclasses import dataclass
 from datetime import timedelta

@@ -14,11 +15,12 @@ class RepoFileProgressEvent:
  speed: int
  eta: timedelta
  status: Literal["not_started", "in_progress", "complete"]
+  start_time: float

  def to_dict(self):
    return {
      "repo_id": self.repo_id, "repo_revision": self.repo_revision, "file_path": self.file_path, "downloaded": self.downloaded, "downloaded_this_session": self.downloaded_this_session,
-      "total": self.total, "speed": self.speed, "eta": self.eta.total_seconds(), "status": self.status
+      "total": self.total, "speed": self.speed, "eta": self.eta.total_seconds(), "status": self.status, "start_time": self.start_time
    }

  @classmethod
@@ -29,6 +31,7 @@ class RepoFileProgressEvent:

@dataclass
 class RepoProgressEvent:
+  shard: Shard
  repo_id: str
  repo_revision: str
  completed_files: int
@@ -43,7 +46,7 @@ class RepoProgressEvent:

  def to_dict(self):
    return {
-      "repo_id": self.repo_id, "repo_revision": self.repo_revision, "completed_files": self.completed_files, "total_files": self.total_files, "downloaded_bytes": self.downloaded_bytes,
+      "shard": self.shard.to_dict(), "repo_id": self.repo_id, "repo_revision": self.repo_revision, "completed_files": self.completed_files, "total_files": self.total_files, "downloaded_bytes": self.downloaded_bytes,
      "downloaded_bytes_this_session": self.downloaded_bytes_this_session, "total_bytes": self.total_bytes, "overall_speed": self.overall_speed, "overall_eta": self.overall_eta.total_seconds(),
      "file_progress": {k: v.to_dict()
                        for k, v in self.file_progress.items()}, "status": self.status
@@ -53,6 +56,7 @@ class RepoProgressEvent:
  def from_dict(cls, data):
    if 'overall_eta' in data: data['overall_eta'] = timedelta(seconds=data['overall_eta'])
    if 'file_progress' in data: data['file_progress'] = {k: RepoFileProgressEvent.from_dict(v) for k, v in data['file_progress'].items()}
+    if 'shard' in data: data['shard'] = Shard.from_dict(data['shard'])

    return cls(**data)

--- a/exo/download/hf/hf_helpers.py
+++ b/exo/download/hf/hf_helpers.py
@@ -1,36 +1,16 @@
 import aiofiles.os as aios
 from typing import Union
-import asyncio
-import aiohttp
-import json
 import os
-import sys
-import shutil
-from urllib.parse import urljoin
-from typing import Callable, Optional, Coroutine, Any, Dict, List, Union, Literal
-from datetime import datetime, timedelta
+from typing import Callable, Optional, Dict, List, Union
 from fnmatch import fnmatch
 from pathlib import Path
-from typing import Generator, Iterable, TypeVar, TypedDict
-from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
-from exo.helpers import DEBUG, is_frozen
-from exo.download.download_progress import RepoProgressEvent, RepoFileProgressEvent, RepoProgressCallback, RepoFileProgressCallback
+from typing import Generator, Iterable, TypeVar
+from exo.helpers import DEBUG
 from exo.inference.shard import Shard
 import aiofiles

 T = TypeVar("T")

-async def get_local_snapshot_dir(repo_id: str, revision: str = "main") -> Optional[Path]:
-  refs_dir = get_repo_root(repo_id)/"refs"
-  refs_file = refs_dir/revision
-  if await aios.path.exists(refs_file):
-    async with aiofiles.open(refs_file, 'r') as f:
-      commit_hash = (await f.read()).strip()
-      snapshot_dir = get_repo_root(repo_id)/"snapshots"/commit_hash
-      return snapshot_dir
-  return None
-
-
 def filter_repo_objects(
  items: Iterable[T],
  *,
@@ -48,14 +28,12 @@ def filter_repo_objects(
    ignore_patterns = [_add_wildcard_to_directories(p) for p in ignore_patterns]

  if key is None:
-
    def _identity(item: T) -> str:
      if isinstance(item, str):
        return item
      if isinstance(item, Path):
        return str(item)
      raise ValueError(f"Please provide `key` argument in `filter_repo_objects`: `{item}` is not a string.")
-
    key = _identity

  for item in items:
@@ -66,22 +44,18 @@ def filter_repo_objects(
      continue
    yield item

-
 def _add_wildcard_to_directories(pattern: str) -> str:
  if pattern[-1] == "/":
    return pattern + "*"
  return pattern

-
 def get_hf_endpoint() -> str:
  return os.environ.get('HF_ENDPOINT', "https://huggingface.co")

-
 def get_hf_home() -> Path:
  """Get the Hugging Face home directory."""
  return Path(os.environ.get("HF_HOME", Path.home()/".cache"/"huggingface"))

-
 async def get_hf_token():
  """Retrieve the Hugging Face token from the user's HF_HOME directory."""
  token_path = get_hf_home()/"token"
@@ -90,7 +64,6 @@ async def get_hf_token():
      return (await f.read()).strip()
  return None

-
 async def get_auth_headers():
  """Get authentication headers if a token is available."""
  token = await get_hf_token()
@@ -98,325 +71,6 @@ async def get_auth_headers():
    return {"Authorization": f"Bearer {token}"}
  return {}

-
-def get_repo_root(repo_id: str) -> Path:
-  """Get the root directory for a given repo ID in the Hugging Face cache."""
-  sanitized_repo_id = str(repo_id).replace("/", "--")
-  return get_hf_home()/"hub"/f"models--{sanitized_repo_id}"
-
-async def move_models_to_hf(seed_dir: Union[str, Path]):
-  """Move model in resources folder of app to .cache/huggingface/hub"""
-  source_dir = Path(seed_dir)
-  dest_dir = get_hf_home()/"hub"
-  await aios.makedirs(dest_dir, exist_ok=True)  
-  for path in source_dir.iterdir():
-    if path.is_dir() and path.name.startswith("models--"):
-      dest_path = dest_dir / path.name
-      if await aios.path.exists(dest_path):
-        print('Skipping moving model to .cache directory')
-      else:
-        try:
-          await aios.rename(str(path), str(dest_path))
-        except Exception as e:
-          print(f'Error moving model to .cache: {e}')
-    
-    
-    
-async def fetch_file_list(session, repo_id, revision, path=""):
-  api_url = f"{get_hf_endpoint()}/api/models/{repo_id}/tree/{revision}"
-  url = f"{api_url}/{path}" if path else api_url
-
-  headers = await get_auth_headers()
-  async with session.get(url, headers=headers) as response:
-    if response.status == 200:
-      data = await response.json()
-      files = []
-      for item in data:
-        if item["type"] == "file":
-          files.append({"path": item["path"], "size": item["size"]})
-        elif item["type"] == "directory":
-          subfiles = await fetch_file_list(session, repo_id, revision, item["path"])
-          files.extend(subfiles)
-      return files
-    else:
-      raise Exception(f"Failed to fetch file list: {response.status}")
-
-
-@retry(
-  stop=stop_after_attempt(5), wait=wait_exponential(multiplier=1, min=4, max=60), retry=retry_if_exception_type((aiohttp.ClientError, asyncio.TimeoutError, aiohttp.ClientResponseError)), reraise=True
-)
-async def download_file(
-  session: aiohttp.ClientSession, repo_id: str, revision: str, file_path: str, save_directory: str, progress_callback: Optional[RepoFileProgressCallback] = None, use_range_request: bool = True
-):
-  base_url = f"{get_hf_endpoint()}/{repo_id}/resolve/{revision}/"
-  url = urljoin(base_url, file_path)
-  local_path = os.path.join(save_directory, file_path)
-
-  await aios.makedirs(os.path.dirname(local_path), exist_ok=True)
-
-  # Check if file already exists and get its size
-  local_file_size = await aios.path.getsize(local_path) if await aios.path.exists(local_path) else 0
-
-  headers = await get_auth_headers()
-  if use_range_request:
-    headers["Range"] = f"bytes={local_file_size}-"
-
-  async with session.get(url, headers=headers) as response:
-    total_size = int(response.headers.get('Content-Length', 0))
-    downloaded_size = local_file_size
-    downloaded_this_session = 0
-    mode = 'ab' if use_range_request else 'wb'
-    percentage = await get_file_download_percentage(
-      session,
-      repo_id,
-      revision,
-      file_path,
-      Path(save_directory)
-    )
-    
-    if percentage == 100:
-      if DEBUG >= 2: print(f"File already downloaded: {file_path}")
-      if progress_callback:
-        await progress_callback(RepoFileProgressEvent(repo_id, revision, file_path, total_size, 0, total_size, 0, timedelta(0), "complete"))
-      return
-
-    if response.status == 200:
-      # File doesn't support range requests or we're not using them, start from beginning
-      mode = 'wb'
-      downloaded_size = 0
-    elif response.status == 206:
-      # Partial content, resume download
-      content_range = response.headers.get('Content-Range', '')
-      try:
-        total_size = int(content_range.split('/')[-1])
-      except ValueError:
-        if DEBUG >= 1: print(f"Failed to parse Content-Range header: {content_range}. Starting download from scratch...")
-        return await download_file(session, repo_id, revision, file_path, save_directory, progress_callback, use_range_request=False)
-    elif response.status == 416:
-      # Range not satisfiable, get the actual file size
-      content_range = response.headers.get('Content-Range', '')
-      try:
-        total_size = int(content_range.split('/')[-1])
-        if downloaded_size == total_size:
-          if DEBUG >= 2: print(f"File fully downloaded on first pass: {file_path}")
-          if progress_callback:
-            await progress_callback(RepoFileProgressEvent(repo_id, revision, file_path, downloaded_size, downloaded_this_session, total_size, 0, timedelta(0), "complete"))
-          return
-      except ValueError:
-        if DEBUG >= 1: print(f"Failed to parse Content-Range header: {content_range}. Starting download from scratch...")
-        return await download_file(session, repo_id, revision, file_path, save_directory, progress_callback, use_range_request=False)
-    else:
-      raise aiohttp.ClientResponseError(response.request_info, response.history, status=response.status, message=f"Failed to download {file_path}: {response.status}")
-
-    if downloaded_size == total_size:
-      print(f"File already downloaded: {file_path}")
-      if progress_callback:
-        await progress_callback(RepoFileProgressEvent(repo_id, revision, file_path, downloaded_size, downloaded_this_session, total_size, 0, timedelta(0), "complete"))
-      return
-
-    DOWNLOAD_CHUNK_SIZE = 32768
-    start_time = datetime.now()
-    async with aiofiles.open(local_path, mode) as f:
-      async for chunk in response.content.iter_chunked(DOWNLOAD_CHUNK_SIZE):
-        await f.write(chunk)
-        downloaded_size += len(chunk)
-        downloaded_this_session += len(chunk)
-        if progress_callback and total_size:
-          elapsed_time = (datetime.now() - start_time).total_seconds()
-          speed = int(downloaded_this_session/elapsed_time) if elapsed_time > 0 else 0
-          remaining_size = total_size - downloaded_size
-          eta = timedelta(seconds=remaining_size/speed) if speed > 0 else timedelta(0)
-          status = "in_progress" if downloaded_size < total_size else "complete"
-          if DEBUG >= 8: print(f"HF repo file download progress: {file_path=} {elapsed_time=} {speed=} Downloaded={downloaded_size}/{total_size} {remaining_size=} {eta=} {status=}")
-          await progress_callback(RepoFileProgressEvent(repo_id, revision, file_path, downloaded_size, downloaded_this_session, total_size, speed, eta, status))
-    if DEBUG >= 2: print(f"Downloaded: {file_path}")
-
-
-async def resolve_revision_to_commit_hash(repo_id: str, revision: str) -> str:
-  repo_root = get_repo_root(repo_id)
-  refs_dir = repo_root/"refs"
-  refs_file = refs_dir/revision
-
-  # Check if we have a cached commit hash
-  if await aios.path.exists(refs_file):
-    async with aiofiles.open(refs_file, 'r') as f:
-      commit_hash = (await f.read()).strip()
-      if DEBUG >= 2: print(f"Commit hash is already cached at {refs_file}: {commit_hash}")
-      return commit_hash
-
-  # Fetch the commit hash for the given revision
-  async with aiohttp.ClientSession() as session:
-    api_url = f"{get_hf_endpoint()}/api/models/{repo_id}/revision/{revision}"
-    headers = await get_auth_headers()
-    async with session.get(api_url, headers=headers) as response:
-      if response.status != 200:
-        raise Exception(f"Failed to fetch revision info from {api_url}: {response.status}")
-      revision_info = await response.json()
-      commit_hash = revision_info['sha']
-
-  # Cache the commit hash
-  await aios.makedirs(refs_dir, exist_ok=True)
-  async with aiofiles.open(refs_file, 'w') as f:
-    await f.write(commit_hash)
-
-  return commit_hash
-
-
-async def download_repo_files(
-  repo_id: str,
-  revision: str = "main",
-  progress_callback: Optional[RepoProgressCallback] = None,
-  allow_patterns: Optional[Union[List[str], str]] = None,
-  ignore_patterns: Optional[Union[List[str], str]] = None,
-  max_parallel_downloads: int = 4
-) -> Path:
-  repo_root = get_repo_root(repo_id)
-  snapshots_dir = repo_root/"snapshots"
-  cachedreqs_dir = repo_root/"cachedreqs"
-
-  # Ensure directories exist
-  await aios.makedirs(snapshots_dir, exist_ok=True)
-  await aios.makedirs(cachedreqs_dir, exist_ok=True)
-
-  # Resolve revision to commit hash
-  commit_hash = await resolve_revision_to_commit_hash(repo_id, revision)
-
-  # Set up the snapshot directory
-  snapshot_dir = snapshots_dir/commit_hash
-  await aios.makedirs(snapshot_dir, exist_ok=True)
-
-  # Set up the cached file list directory
-  cached_file_list_dir = cachedreqs_dir/commit_hash
-  await aios.makedirs(cached_file_list_dir, exist_ok=True)
-  cached_file_list_path = cached_file_list_dir/"fetch_file_list.json"
-
-  async with aiohttp.ClientSession() as session:
-    # Check if we have a cached file list
-    if await aios.path.exists(cached_file_list_path):
-      async with aiofiles.open(cached_file_list_path, 'r') as f:
-        file_list = json.loads(await f.read())
-      if DEBUG >= 2: print(f"Using cached file list from {cached_file_list_path}")
-    else:
-      file_list = await fetch_file_list(session, repo_id, revision)
-      # Cache the file list
-      async with aiofiles.open(cached_file_list_path, 'w') as f:
-        await f.write(json.dumps(file_list))
-      if DEBUG >= 2: print(f"Cached file list at {cached_file_list_path}")
-
-    model_index_exists = any(file["path"] == "model_index.json" for file in file_list)
-    if model_index_exists:
-      allow_patterns = ["**/*.json", "**/*.txt", "**/*model.safetensors", "*.json"]
-
-    filtered_file_list = list(filter_repo_objects(file_list, allow_patterns=allow_patterns, ignore_patterns=ignore_patterns, key=lambda x: x["path"]))
-    total_files = len(filtered_file_list)
-    total_bytes = sum(file["size"] for file in filtered_file_list)
-    file_progress: Dict[str, RepoFileProgressEvent] = {
-      file["path"]: RepoFileProgressEvent(repo_id, revision, file["path"], 0, 0, file["size"], 0, timedelta(0), "not_started")
-      for file in filtered_file_list
-    }
-    start_time = datetime.now()
-
-    async def download_with_progress(file_info, progress_state):
-      local_path = snapshot_dir/file_info["path"]
-      if await aios.path.exists(local_path) and (await aios.stat(local_path)).st_size == file_info["size"]:
-        if DEBUG >= 2: print(f"File already fully downloaded: {file_info['path']}")
-        progress_state['completed_files'] += 1
-        progress_state['downloaded_bytes'] += file_info["size"]
-        file_progress[file_info["path"]] = RepoFileProgressEvent(repo_id, revision, file_info["path"], file_info["size"], 0, file_info["size"], 0, timedelta(0), "complete")
-        if progress_callback:
-          elapsed_time = (datetime.now() - start_time).total_seconds()
-          overall_speed = int(progress_state['downloaded_bytes_this_session']/elapsed_time) if elapsed_time > 0 else 0
-          remaining_bytes = total_bytes - progress_state['downloaded_bytes']
-          overall_eta = timedelta(seconds=remaining_bytes/overall_speed) if overall_speed > 0 else timedelta(seconds=0)
-          status = "in_progress" if progress_state['completed_files'] < total_files else "complete"
-          await progress_callback(
-            RepoProgressEvent(
-              repo_id, revision, progress_state['completed_files'], total_files, progress_state['downloaded_bytes'], progress_state['downloaded_bytes_this_session'], total_bytes, overall_speed,
-              overall_eta, file_progress, status
-            )
-          )
-        return
-
-      async def file_progress_callback(event: RepoFileProgressEvent):
-        progress_state['downloaded_bytes'] += event.downloaded - file_progress[event.file_path].downloaded
-        progress_state['downloaded_bytes_this_session'] += event.downloaded_this_session - file_progress[event.file_path].downloaded_this_session
-        file_progress[event.file_path] = event
-        if progress_callback:
-          elapsed_time = (datetime.now() - start_time).total_seconds()
-          overall_speed = int(progress_state['downloaded_bytes_this_session']/elapsed_time) if elapsed_time > 0 else 0
-          remaining_bytes = total_bytes - progress_state['downloaded_bytes']
-          overall_eta = timedelta(seconds=remaining_bytes/overall_speed) if overall_speed > 0 else timedelta(seconds=0)
-          status = "in_progress" if progress_state['downloaded_bytes'] < total_bytes else "complete"
-          await progress_callback(
-            RepoProgressEvent(
-              repo_id, revision, progress_state['completed_files'], total_files, progress_state['downloaded_bytes'], progress_state['downloaded_bytes_this_session'], total_bytes, overall_speed,
-              overall_eta, file_progress, status
-            )
-          )
-
-      await download_file(session, repo_id, revision, file_info["path"], snapshot_dir, file_progress_callback)
-      progress_state['completed_files'] += 1
-      file_progress[
-        file_info["path"]
-      ] = RepoFileProgressEvent(repo_id, revision, file_info["path"], file_info["size"], file_progress[file_info["path"]].downloaded_this_session, file_info["size"], 0, timedelta(0), "complete")
-      if progress_callback:
-        elapsed_time = (datetime.now() - start_time).total_seconds()
-        overall_speed = int(progress_state['downloaded_bytes_this_session']/elapsed_time) if elapsed_time > 0 else 0
-        remaining_bytes = total_bytes - progress_state['downloaded_bytes']
-        overall_eta = timedelta(seconds=remaining_bytes/overall_speed) if overall_speed > 0 else timedelta(seconds=0)
-        status = "in_progress" if progress_state['completed_files'] < total_files else "complete"
-        await progress_callback(
-          RepoProgressEvent(
-            repo_id, revision, progress_state['completed_files'], total_files, progress_state['downloaded_bytes'], progress_state['downloaded_bytes_this_session'], total_bytes, overall_speed,
-            overall_eta, file_progress, status
-          )
-        )
-
-    progress_state = {'completed_files': 0, 'downloaded_bytes': 0, 'downloaded_bytes_this_session': 0}
-
-    semaphore = asyncio.Semaphore(max_parallel_downloads)
-
-    async def download_with_semaphore(file_info):
-      async with semaphore:
-        await download_with_progress(file_info, progress_state)
-
-    tasks = [asyncio.create_task(download_with_semaphore(file_info)) for file_info in filtered_file_list]
-    await asyncio.gather(*tasks)
-
-  return snapshot_dir
-
-
-async def get_weight_map(repo_id: str, revision: str = "main") -> Optional[Dict[str, str]]:
-  """
-    Retrieve the weight map from the model.safetensors.index.json file.
-
-    Args:
-        repo_id (str): The Hugging Face repository ID.
-        revision (str): The revision of the repository to use.
-
-    Returns:
-        Optional[Dict[str, str]]: The weight map if it exists, otherwise None.
-    """
-
-  # Download the index file
-  await download_repo_files(repo_id=repo_id, revision=revision, allow_patterns="model.safetensors.index.json")
-
-  # Check if the file exists
-  repo_root = get_repo_root(repo_id)
-  commit_hash = await resolve_revision_to_commit_hash(repo_id, revision)
-  snapshot_dir = repo_root/"snapshots"/commit_hash
-  index_file = next((f for f in await aios.listdir(snapshot_dir) if f.endswith("model.safetensors.index.json")), None)
-
-  if index_file:
-    index_file_path = snapshot_dir/index_file
-    if await aios.path.exists(index_file_path):
-      async with aiofiles.open(index_file_path, 'r') as f:
-        index_data = json.loads(await f.read())
-      return index_data.get("weight_map")
-
-  return None
-
-
 def extract_layer_num(tensor_name: str) -> Optional[int]:
  # This is a simple example and might need to be adjusted based on the actual naming convention
  parts = tensor_name.split('.')
@@ -425,7 +79,6 @@ def extract_layer_num(tensor_name: str) -> Optional[int]:
      return int(part)
  return None

-
 def get_allow_patterns(weight_map: Dict[str, str], shard: Shard) -> List[str]:
  default_patterns = set(["*.json", "*.py", "tokenizer.model", "*.tiktoken", "*.txt"])
  shard_specific_patterns = set()
@@ -443,65 +96,3 @@ def get_allow_patterns(weight_map: Dict[str, str], shard: Shard) -> List[str]:
    shard_specific_patterns = set(["*.safetensors"])
  if DEBUG >= 3: print(f"get_allow_patterns {weight_map=} {shard=} {shard_specific_patterns=}")
  return list(default_patterns | shard_specific_patterns)
-
-async def get_file_download_percentage(
-    session: aiohttp.ClientSession,
-    repo_id: str,
-    revision: str,
-    file_path: str,
-    snapshot_dir: Path,
-) -> float:
-  """
-    Calculate the download percentage for a file by comparing local and remote sizes.
-    """
-  try:
-    local_path = snapshot_dir / file_path
-    if not await aios.path.exists(local_path):
-      return 0
-
-    # Get local file size first
-    local_size = await aios.path.getsize(local_path)
-    if local_size == 0:
-      return 0
-
-    # Check remote size
-    base_url = f"{get_hf_endpoint()}/{repo_id}/resolve/{revision}/"
-    url = urljoin(base_url, file_path)
-    headers = await get_auth_headers()
-
-    # Use HEAD request with redirect following for all files
-    async with session.head(url, headers=headers, allow_redirects=True) as response:
-      if response.status != 200:
-        if DEBUG >= 2:
-          print(f"Failed to get remote file info for {file_path}: {response.status}")
-        return 0
-
-      remote_size = int(response.headers.get('Content-Length', 0))
-
-      if remote_size == 0:
-        if DEBUG >= 2:
-          print(f"Remote size is 0 for {file_path}")
-        return 0
-
-      # Only return 100% if sizes match exactly
-      if local_size == remote_size:
-        return 100.0
-
-      # Calculate percentage based on sizes
-      return (local_size / remote_size) * 100 if remote_size > 0 else 0
-
-  except Exception as e:
-    if DEBUG >= 2:
-      print(f"Error checking file download status for {file_path}: {e}")
-    return 0
-
-async def has_hf_home_read_access() -> bool:
-  hf_home = get_hf_home()
-  try: return await aios.access(hf_home, os.R_OK)
-  except OSError: return False
-
-async def has_hf_home_write_access() -> bool:
-  hf_home = get_hf_home()
-  try: return await aios.access(hf_home, os.W_OK)
-  except OSError: return False
-
--- a/exo/download/hf/hf_shard_download.py
+++ b/exo/download/hf/hf_shard_download.py
@@ -1,172 +0,0 @@
-import asyncio
-import traceback
-from pathlib import Path
-from typing import Dict, List, Tuple, Optional, Union
-from exo.inference.shard import Shard
-from exo.download.shard_download import ShardDownloader
-from exo.download.download_progress import RepoProgressEvent
-from exo.download.hf.hf_helpers import (
-    download_repo_files, RepoProgressEvent, get_weight_map, 
-    get_allow_patterns, get_repo_root, fetch_file_list, 
-    get_local_snapshot_dir, get_file_download_percentage,
-    filter_repo_objects
-)
-from exo.helpers import AsyncCallbackSystem, DEBUG
-from exo.models import model_cards, get_repo
-import aiohttp
-from aiofiles import os as aios
-
-
-class HFShardDownloader(ShardDownloader):
-  def __init__(self, quick_check: bool = False, max_parallel_downloads: int = 4):
-    self.quick_check = quick_check
-    self.max_parallel_downloads = max_parallel_downloads
-    self.active_downloads: Dict[Shard, asyncio.Task] = {}
-    self.completed_downloads: Dict[Shard, Path] = {}
-    self._on_progress = AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]()
-    self.current_shard: Optional[Shard] = None
-    self.current_repo_id: Optional[str] = None
-    self.revision: str = "main"
-
-  async def ensure_shard(self, shard: Shard, inference_engine_name: str) -> Path:
-    self.current_shard = shard
-    self.current_repo_id = get_repo(shard.model_id, inference_engine_name)
-    repo_name = get_repo(shard.model_id, inference_engine_name)
-    if shard in self.completed_downloads:
-      return self.completed_downloads[shard]
-    if self.quick_check:
-      repo_root = get_repo_root(repo_name)
-      snapshots_dir = repo_root/"snapshots"
-      if snapshots_dir.exists():
-        visible_dirs = [d for d in snapshots_dir.iterdir() if not d.name.startswith('.')]
-        if visible_dirs:
-          most_recent_dir = max(visible_dirs, key=lambda x: x.stat().st_mtime)
-          return most_recent_dir
-
-    # If a download on this shard is already in progress, keep that one
-    for active_shard in self.active_downloads:
-      if active_shard == shard:
-        if DEBUG >= 2: print(f"Download already in progress for {shard}. Keeping that one.")
-        return await self.active_downloads[shard]
-
-    # Cancel any downloads for this model_id on a different shard
-    existing_active_shards = [active_shard for active_shard in self.active_downloads.keys() if active_shard.model_id == shard.model_id]
-    for active_shard in existing_active_shards:
-      if DEBUG >= 2: print(f"Cancelling download for {active_shard} (replacing with {shard})")
-      task = self.active_downloads[active_shard]
-      task.cancel()
-      try:
-        await task
-      except asyncio.CancelledError:
-        pass  # This is expected when cancelling a task
-      except Exception as e:
-        if DEBUG >= 2: print(f"Error in cancelling download {active_shard}: {e}")
-        traceback.print_exc()
-    self.active_downloads = {active_shard: task for active_shard, task in self.active_downloads.items() if active_shard.model_id != shard.model_id}
-
-    # Start new download
-    download_task = asyncio.create_task(self._download_shard(shard, repo_name))
-    self.active_downloads[shard] = download_task
-    try:
-      path = await download_task
-      self.completed_downloads[shard] = path
-      return path
-    finally:
-      # Ensure the task is removed even if an exception occurs
-      print(f"Removing download task for {shard}: {shard in self.active_downloads}")
-      if shard in self.active_downloads:
-        self.active_downloads.pop(shard)
-
-  async def _download_shard(self, shard: Shard, repo_name: str) -> Path:
-    async def wrapped_progress_callback(event: RepoProgressEvent):
-      self._on_progress.trigger_all(shard, event)
-
-    weight_map = await get_weight_map(repo_name)
-    allow_patterns = get_allow_patterns(weight_map, shard)
-
-    return await download_repo_files(repo_name, progress_callback=wrapped_progress_callback, allow_patterns=allow_patterns, max_parallel_downloads=self.max_parallel_downloads)
-
-  @property
-  def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
-    return self._on_progress
-
-  async def get_shard_download_status(self) -> Optional[Dict[str, Union[float, int]]]:
-    if not self.current_shard or not self.current_repo_id:
-      if DEBUG >= 2:
-        print(f"No current shard or repo_id set: {self.current_shard=} {self.current_repo_id=}")
-      return None
-
-    try:
-      # If no snapshot directory exists, return None - no need to check remote files
-      snapshot_dir = await get_local_snapshot_dir(self.current_repo_id, self.revision)
-      if not snapshot_dir:
-        if DEBUG >= 2:
-          print(f"No snapshot directory found for {self.current_repo_id}")
-        return None
-
-      if not await aios.path.exists(snapshot_dir/"model_index.json"):
-      # Get the weight map to know what files we need
-        weight_map = await get_weight_map(self.current_repo_id, self.revision)
-        if not weight_map:
-          if DEBUG >= 2:
-            print(f"No weight map found for {self.current_repo_id}")
-          return None
-
-        # Get all files needed for this shard
-        patterns = get_allow_patterns(weight_map, self.current_shard)
-      else:
-        patterns = ["**/*.json", "**/*.txt", "**/*model.safetensors", "*.json"]
-
-
-      # Check download status for all relevant files
-      status = {}
-      total_bytes = 0
-      downloaded_bytes = 0
-
-      async with aiohttp.ClientSession() as session:
-        file_list = await fetch_file_list(session, self.current_repo_id, self.revision)
-        relevant_files = list(
-            filter_repo_objects(
-                file_list, allow_patterns=patterns, key=lambda x: x["path"]))
-
-        for file in relevant_files:
-          file_size = file["size"]
-          total_bytes += file_size
-
-          percentage = await get_file_download_percentage(
-              session,
-              self.current_repo_id,
-              self.revision,
-              file["path"],
-              snapshot_dir,
-          )
-          status[file["path"]] = percentage
-          downloaded_bytes += (file_size * (percentage / 100))
-
-        # Add overall progress weighted by file size
-        if total_bytes > 0:
-          status["overall"] = (downloaded_bytes / total_bytes) * 100
-        else:
-          status["overall"] = 0
-          
-        # Add total size in bytes
-        status["total_size"] = total_bytes
-        if status["overall"] != 100:
-          status["total_downloaded"] = downloaded_bytes
-        
-
-        if DEBUG >= 2:
-          print(f"Download calculation for {self.current_repo_id}:")
-          print(f"Total bytes: {total_bytes}")
-          print(f"Downloaded bytes: {downloaded_bytes}")
-        if DEBUG >= 3:
-          for file in relevant_files:
-            print(f"File {file['path']}: size={file['size']}, percentage={status[file['path']]}")
-
-      return status
-
-    except Exception as e:
-      if DEBUG >= 3:
-        print(f"Error getting shard download status: {e}")
-        traceback.print_exc()
-      return None
--- a/exo/download/new_shard_download.py
+++ b/exo/download/new_shard_download.py
@@ -0,0 +1,226 @@
+from exo.inference.shard import Shard
+from exo.models import get_repo
+from pathlib import Path
+from exo.download.hf.hf_helpers import get_hf_endpoint, get_auth_headers, filter_repo_objects, get_allow_patterns
+from exo.download.shard_download import ShardDownloader
+from exo.download.download_progress import RepoProgressEvent, RepoFileProgressEvent
+from exo.helpers import AsyncCallbackSystem, DEBUG
+from exo.models import get_supported_models, build_full_shard
+import os
+import aiofiles.os as aios
+import aiohttp
+import aiofiles
+from urllib.parse import urljoin
+from typing import Callable, Union, Tuple, Dict, List
+import time
+from datetime import timedelta
+import asyncio
+import json
+import traceback
+import shutil
+import tempfile
+
+def exo_home() -> Path:
+  return Path(os.environ.get("EXO_HOME", Path.home()/".cache"/"exo"))
+
+def exo_tmp() -> Path:
+  return Path(tempfile.gettempdir())/"exo"
+
+async def ensure_exo_tmp() -> Path:
+  await aios.makedirs(exo_tmp(), exist_ok=True)
+  return exo_tmp()
+
+async def has_exo_home_read_access() -> bool:
+  try: return await aios.access(exo_home(), os.R_OK)
+  except OSError: return False
+
+async def has_exo_home_write_access() -> bool:
+  try: return await aios.access(exo_home(), os.W_OK)
+  except OSError: return False
+
+async def ensure_downloads_dir() -> Path:
+  downloads_dir = exo_home()/"downloads"
+  await aios.makedirs(downloads_dir, exist_ok=True)
+  return downloads_dir
+
+async def delete_model(model_id: str, inference_engine_name: str) -> bool:
+  repo_id = get_repo(model_id, inference_engine_name)
+  model_dir = await ensure_downloads_dir()/repo_id.replace("/", "--")
+  if not await aios.path.exists(model_dir): return False
+  await asyncio.to_thread(shutil.rmtree, model_dir, ignore_errors=False)
+  return True
+
+async def seed_models(seed_dir: Union[str, Path]):
+  """Move model in resources folder of app to .cache/huggingface/hub"""
+  source_dir = Path(seed_dir)
+  dest_dir = await ensure_downloads_dir()
+  for path in source_dir.iterdir():
+    if path.is_dir() and path.name.startswith("models--"):
+      dest_path = dest_dir/path.name
+      if await aios.path.exists(dest_path): print('Skipping moving model to .cache directory')
+      else:
+        try: await aios.rename(str(path), str(dest_path))
+        except:
+          print(f"Error seeding model {path} to {dest_path}")
+          traceback.print_exc()
+
+async def fetch_file_list(session, repo_id, revision, path=""):
+  api_url = f"{get_hf_endpoint()}/api/models/{repo_id}/tree/{revision}"
+  url = f"{api_url}/{path}" if path else api_url
+
+  headers = await get_auth_headers()
+  async with session.get(url, headers=headers) as response:
+    if response.status == 200:
+      data = await response.json()
+      files = []
+      for item in data:
+        if item["type"] == "file":
+          files.append({"path": item["path"], "size": item["size"]})
+        elif item["type"] == "directory":
+          subfiles = await fetch_file_list(session, repo_id, revision, item["path"])
+          files.extend(subfiles)
+      return files
+    else:
+      raise Exception(f"Failed to fetch file list: {response.status}")
+
+async def download_file(session: aiohttp.ClientSession, repo_id: str, revision: str, path: str, target_dir: Path, on_progress: Callable[[int, int], None] = lambda _, __: None) -> Path:
+  if (target_dir/path).exists(): return target_dir/path
+  await aios.makedirs((target_dir/path).parent, exist_ok=True)
+  base_url = f"{get_hf_endpoint()}/{repo_id}/resolve/{revision}/"
+  url = urljoin(base_url, path)
+  headers = await get_auth_headers()
+  async with session.get(url, headers=headers, timeout=aiohttp.ClientTimeout(total=1800, connect=60, sock_read=1800, sock_connect=60)) as r:
+    assert r.status == 200, f"Failed to download {path} from {url}: {r.status}"
+    length = int(r.headers.get('content-length', 0))
+    n_read = 0
+    async with aiofiles.tempfile.NamedTemporaryFile(dir=target_dir, delete=False) as temp_file:
+      while chunk := await r.content.read(1024 * 1024): on_progress(n_read := n_read + await temp_file.write(chunk), length)
+      await aios.rename(temp_file.name, target_dir/path)
+    return target_dir/path
+
+def calculate_repo_progress(shard: Shard, repo_id: str, revision: str, file_progress: Dict[str, RepoFileProgressEvent], all_start_time: float) -> RepoProgressEvent:
+  all_total_bytes = sum([p.total for p in file_progress.values()])
+  all_downloaded_bytes = sum([p.downloaded for p in file_progress.values()])
+  all_downloaded_bytes_this_session = sum([p.downloaded_this_session for p in file_progress.values()])
+  elapsed_time = time.time() - all_start_time
+  all_speed = all_downloaded_bytes_this_session / elapsed_time if elapsed_time > 0 else 0
+  all_eta = timedelta(seconds=(all_total_bytes - all_downloaded_bytes) / all_speed) if all_speed > 0 else timedelta(seconds=0)
+  status = "not_started" if all_downloaded_bytes == 0 else "complete" if all_downloaded_bytes == all_total_bytes else "in_progress"
+  return RepoProgressEvent(shard, repo_id, revision, len([p for p in file_progress.values() if p.downloaded == p.total]), len(file_progress), all_downloaded_bytes, all_downloaded_bytes_this_session, all_total_bytes, all_speed, all_eta, file_progress, status)
+
+async def get_weight_map(repo_id: str, revision: str = "main") -> Dict[str, str]:
+  target_dir = await ensure_exo_tmp()/repo_id.replace("/", "--")
+  async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=1800, connect=10, sock_read=1800, sock_connect=10)) as session:
+    index_file = await download_file(session, repo_id, revision, "model.safetensors.index.json", target_dir)
+    async with aiofiles.open(index_file, 'r') as f: index_data = json.loads(await f.read())
+    return index_data.get("weight_map")
+
+async def resolve_allow_patterns(shard: Shard, inference_engine_classname: str) -> List[str]:
+  try:
+    weight_map = await get_weight_map(get_repo(shard.model_id, inference_engine_classname))
+    return get_allow_patterns(weight_map, shard)
+  except:
+    if DEBUG >= 1: print(f"Error getting weight map for {shard.model_id=} and inference engine {inference_engine_classname}")
+    if DEBUG >= 1: traceback.print_exc()
+    return ["*"]
+
+async def download_shard(shard: Shard, inference_engine_classname: str, on_progress: AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]], max_parallel_downloads: int = 6, skip_download: bool = False) -> tuple[Path, RepoProgressEvent]:
+  if DEBUG >= 2 and not skip_download: print(f"Downloading {shard.model_id=} for {inference_engine_classname}")
+  repo_id = get_repo(shard.model_id, inference_engine_classname)
+  revision = "main"
+  target_dir = await ensure_downloads_dir()/repo_id.replace("/", "--")
+  if not skip_download: await aios.makedirs(target_dir, exist_ok=True)
+
+  if repo_id is None:
+    raise ValueError(f"No repo found for {shard.model_id=} and inference engine {inference_engine_classname}")
+
+  allow_patterns = await resolve_allow_patterns(shard, inference_engine_classname)
+  if DEBUG >= 2: print(f"Downloading {shard.model_id=} with {allow_patterns=}")
+
+  all_start_time = time.time()
+  async with aiohttp.ClientSession() as session:
+    file_list = await fetch_file_list(session, repo_id, revision)
+    filtered_file_list = list(filter_repo_objects(file_list, allow_patterns=allow_patterns, key=lambda x: x["path"]))
+    file_progress: Dict[str, RepoFileProgressEvent] = {}
+    def on_progress_wrapper(file: dict, curr_bytes: int, total_bytes: int):
+      start_time = file_progress[file["path"]].start_time if file["path"] in file_progress else time.time()
+      downloaded_this_session = file_progress[file["path"]].downloaded_this_session + (curr_bytes - file_progress[file["path"]].downloaded) if file["path"] in file_progress else curr_bytes
+      speed = downloaded_this_session / (time.time() - start_time)
+      eta = timedelta(seconds=(total_bytes - curr_bytes) / speed)
+      file_progress[file["path"]] = RepoFileProgressEvent(repo_id, revision, file["path"], curr_bytes, downloaded_this_session, total_bytes, speed, eta, "in_progress", start_time)
+      on_progress.trigger_all(shard, calculate_repo_progress(shard, repo_id, revision, file_progress, all_start_time))
+      if DEBUG >= 6: print(f"Downloading {file['path']} {curr_bytes}/{total_bytes} {speed} {eta}")
+    for file in filtered_file_list:
+      downloaded_bytes = (await aios.stat(target_dir/file["path"])).st_size if await aios.path.exists(target_dir/file["path"]) else 0
+      file_progress[file["path"]] = RepoFileProgressEvent(repo_id, revision, file["path"], downloaded_bytes, 0, file["size"], 0, timedelta(0), "not_started" if downloaded_bytes == 0 else "complete" if downloaded_bytes == file["size"] else "in_progress", time.time())
+
+    semaphore = asyncio.Semaphore(max_parallel_downloads)
+    async def download_with_semaphore(file):
+      async with semaphore:
+        await download_file(session, repo_id, revision, file["path"], target_dir, lambda curr_bytes, total_bytes: on_progress_wrapper(file, curr_bytes, total_bytes))
+    if not skip_download: await asyncio.gather(*[download_with_semaphore(file) for file in filtered_file_list])
+    final_repo_progress = calculate_repo_progress(shard, repo_id, revision, file_progress, all_start_time)
+    on_progress.trigger_all(shard, final_repo_progress)
+    return target_dir, final_repo_progress
+
+def new_shard_downloader() -> ShardDownloader:
+  return SingletonShardDownloader(CachedShardDownloader(NewShardDownloader()))
+
+class SingletonShardDownloader(ShardDownloader):
+  def __init__(self, shard_downloader: ShardDownloader):
+    self.shard_downloader = shard_downloader
+    self.active_downloads: Dict[Shard, asyncio.Task] = {}
+
+  @property
+  def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
+    return self.shard_downloader.on_progress
+
+  async def ensure_shard(self, shard: Shard, inference_engine_name: str) -> Path:
+    if shard not in self.active_downloads: self.active_downloads[shard] = asyncio.create_task(self.shard_downloader.ensure_shard(shard, inference_engine_name))
+    try: return await self.active_downloads[shard]
+    finally:
+      if shard in self.active_downloads and self.active_downloads[shard].done(): del self.active_downloads[shard]
+
+  async def get_shard_download_status(self, inference_engine_name: str) -> list[tuple[Path, RepoProgressEvent]]:
+    return await self.shard_downloader.get_shard_download_status(inference_engine_name)
+
+class CachedShardDownloader(ShardDownloader):
+  def __init__(self, shard_downloader: ShardDownloader):
+    self.shard_downloader = shard_downloader
+    self.cache: Dict[tuple[str, Shard], Path] = {}
+
+  @property
+  def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
+    return self.shard_downloader.on_progress
+
+  async def ensure_shard(self, shard: Shard, inference_engine_name: str) -> Path:
+    if (inference_engine_name, shard) in self.cache:
+      if DEBUG >= 2: print(f"ensure_shard cache hit {shard=} for {inference_engine_name}")
+      return self.cache[(inference_engine_name, shard)]
+    if DEBUG >= 2: print(f"ensure_shard cache miss {shard=} for {inference_engine_name}")
+    target_dir = await self.shard_downloader.ensure_shard(shard, inference_engine_name)
+    self.cache[(inference_engine_name, shard)] = target_dir
+    return target_dir
+
+  async def get_shard_download_status(self, inference_engine_name: str) -> list[tuple[Path, RepoProgressEvent]]:
+    return await self.shard_downloader.get_shard_download_status(inference_engine_name)
+
+class NewShardDownloader(ShardDownloader):
+  def __init__(self):
+    self._on_progress = AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]()
+
+  @property
+  def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
+    return self._on_progress
+
+  async def ensure_shard(self, shard: Shard, inference_engine_name: str) -> Path:
+    target_dir, _ = await download_shard(shard, inference_engine_name, self.on_progress)
+    return target_dir
+
+  async def get_shard_download_status(self, inference_engine_name: str) -> list[tuple[Path, RepoProgressEvent]]:
+    if DEBUG >= 2: print("Getting shard download status for", inference_engine_name)
+    downloads = await asyncio.gather(*[download_shard(build_full_shard(model_id, inference_engine_name), inference_engine_name, self.on_progress, skip_download=True) for model_id in get_supported_models([[inference_engine_name]])], return_exceptions=True)
+    if DEBUG >= 6: print("Downloaded shards:", downloads)
+    if any(isinstance(d, Exception) for d in downloads) and DEBUG >= 1: print("Error downloading shards:", [d for d in downloads if isinstance(d, Exception)])
+    return [d for d in downloads if not isinstance(d, Exception)]
+
--- a/exo/download/shard_download.py
+++ b/exo/download/shard_download.py
@@ -27,7 +27,7 @@ class ShardDownloader(ABC):
    pass

  @abstractmethod
-  async def get_shard_download_status(self) -> Optional[Dict[str, float]]:
+  async def get_shard_download_status(self, inference_engine_name: str) -> list[tuple[Path, RepoProgressEvent]]:
    """Get the download status of shards.
    
    Returns:
@@ -45,5 +45,5 @@ class NoopShardDownloader(ShardDownloader):
  def on_progress(self) -> AsyncCallbackSystem[str, Tuple[Shard, RepoProgressEvent]]:
    return AsyncCallbackSystem()

-  async def get_shard_download_status(self) -> Optional[Dict[str, float]]:
+  async def get_shard_download_status(self, inference_engine_name: str) -> Optional[Dict[str, float]]:
    return None
--- a/exo/download/test_new_shard_download.py
+++ b/exo/download/test_new_shard_download.py
@@ -0,0 +1,15 @@
+from exo.download.new_shard_download import download_shard, NewShardDownloader
+from exo.inference.shard import Shard
+from pathlib import Path
+import asyncio
+
+async def test_new_shard_download():
+  shard_downloader = NewShardDownloader()
+  shard_downloader.on_progress.register("test").on_next(lambda shard, event: print(shard, event))
+  await shard_downloader.ensure_shard(Shard(model_id="llama-3.2-1b", start_layer=0, end_layer=0, n_layers=16), "MLXDynamicShardInferenceEngine")
+  download_statuses = await shard_downloader.get_shard_download_status("MLXDynamicShardInferenceEngine")
+  print({k: v for k, v in download_statuses if v.downloaded_bytes > 0})
+
+if __name__ == "__main__":
+  asyncio.run(test_new_shard_download())
+
--- a/exo/inference/mlx/test_non_blocking.py
+++ b/exo/inference/mlx/test_non_blocking.py
@@ -2,7 +2,7 @@ import asyncio
 import time
 import numpy as np
 from exo.inference.mlx.sharded_inference_engine import MLXDynamicShardInferenceEngine
-from exo.download.hf.hf_shard_download import HFShardDownloader
+from exo.download.new_shard_download import NewShardDownloader
 from exo.inference.shard import Shard
 from exo.models import build_base_shard
 from collections import deque
@@ -10,7 +10,7 @@ from statistics import mean, median

 async def test_non_blocking():
    # Setup
-    shard_downloader = HFShardDownloader()
+    shard_downloader = NewShardDownloader()
    engine = MLXDynamicShardInferenceEngine(shard_downloader)
    _shard = build_base_shard("llama-3.1-8b", "MLXDynamicShardInferenceEngine")
    shard = Shard(_shard.model_id, _shard.start_layer, _shard.n_layers - 1, _shard.n_layers)
--- a/exo/inference/test_inference_engine.py
+++ b/exo/inference/test_inference_engine.py
@@ -1,6 +1,6 @@
 from exo.inference.mlx.sharded_inference_engine import MLXDynamicShardInferenceEngine
-from exo.download.hf.hf_shard_download import HFShardDownloader
 from exo.inference.inference_engine import InferenceEngine
+from exo.download.new_shard_download import NewShardDownloader
 from exo.inference.shard import Shard
 from exo.helpers import DEBUG
 import os
@@ -44,13 +44,11 @@ async def test_inference_engine(inference_engine_1: InferenceEngine, inference_e
  assert np.array_equal(next_resp_full, resp4)


-asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(HFShardDownloader()), MLXDynamicShardInferenceEngine(HFShardDownloader()), "llama-3.2-1b", 16))
+asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(NewShardDownloader()), MLXDynamicShardInferenceEngine(NewShardDownloader()), "llama-3.2-1b", 16))

 if os.getenv("RUN_TINYGRAD", default="0") == "1":
  import tinygrad
  import os
  from exo.inference.tinygrad.inference import TinygradDynamicShardInferenceEngine
  tinygrad.helpers.DEBUG.value = int(os.getenv("TINYGRAD_DEBUG", default="0"))
-  asyncio.run(
-    test_inference_engine(TinygradDynamicShardInferenceEngine(HFShardDownloader()), TinygradDynamicShardInferenceEngine(HFShardDownloader()), "llama-3-8b", 32)
-  )
+  asyncio.run(test_inference_engine(TinygradDynamicShardInferenceEngine(NewShardDownloader()), TinygradDynamicShardInferenceEngine(NewShardDownloader()), "llama-3.2-1b", 32))
--- a/exo/inference/tokenizers.py
+++ b/exo/inference/tokenizers.py
@@ -1,12 +1,11 @@
 import traceback
-from aiofiles import os as aios
 from os import PathLike
-from pathlib import Path
+from aiofiles import os as aios
 from typing import Union
 from transformers import AutoTokenizer, AutoProcessor
 import numpy as np
-from exo.download.hf.hf_helpers import get_local_snapshot_dir
 from exo.helpers import DEBUG
+from exo.download.new_shard_download import ensure_downloads_dir


 class DummyTokenizer:
@@ -24,25 +23,25 @@ class DummyTokenizer:
    return "dummy" * len(tokens)


-async def resolve_tokenizer(model_id: str):
-  if model_id == "dummy":
+async def resolve_tokenizer(repo_id: Union[str, PathLike]):
+  if repo_id == "dummy":
    return DummyTokenizer()
-  local_path = await get_local_snapshot_dir(model_id)
+  local_path = await ensure_downloads_dir()/str(repo_id).replace("/", "--")
  if DEBUG >= 2: print(f"Checking if local path exists to load tokenizer from local {local_path=}")
  try:
    if local_path and await aios.path.exists(local_path):
-      if DEBUG >= 2: print(f"Resolving tokenizer for {model_id=} from {local_path=}")
+      if DEBUG >= 2: print(f"Resolving tokenizer for {repo_id=} from {local_path=}")
      return await _resolve_tokenizer(local_path)
  except:
-    if DEBUG >= 5: print(f"Local check for {local_path=} failed. Resolving tokenizer for {model_id=} normally...")
+    if DEBUG >= 5: print(f"Local check for {local_path=} failed. Resolving tokenizer for {repo_id=} normally...")
    if DEBUG >= 5: traceback.print_exc()
-  return await _resolve_tokenizer(model_id)
+  return await _resolve_tokenizer(repo_id)


-async def _resolve_tokenizer(model_id_or_local_path: Union[str, PathLike]):
+async def _resolve_tokenizer(repo_id_or_local_path: Union[str, PathLike]):
  try:
-    if DEBUG >= 4: print(f"Trying AutoProcessor for {model_id_or_local_path}")
-    processor = AutoProcessor.from_pretrained(model_id_or_local_path, use_fast=True if "Mistral-Large" in f"{model_id_or_local_path}" else False, trust_remote_code=True)
+    if DEBUG >= 4: print(f"Trying AutoProcessor for {repo_id_or_local_path}")
+    processor = AutoProcessor.from_pretrained(repo_id_or_local_path, use_fast=True if "Mistral-Large" in f"{repo_id_or_local_path}" else False, trust_remote_code=True)
    if not hasattr(processor, 'eos_token_id'):
      processor.eos_token_id = getattr(processor, 'tokenizer', getattr(processor, '_tokenizer', processor)).eos_token_id
    if not hasattr(processor, 'encode'):
@@ -51,14 +50,14 @@ async def _resolve_tokenizer(model_id_or_local_path: Union[str, PathLike]):
      processor.decode = getattr(processor, 'tokenizer', getattr(processor, '_tokenizer', processor)).decode
    return processor
  except Exception as e:
-    if DEBUG >= 4: print(f"Failed to load processor for {model_id_or_local_path}. Error: {e}")
+    if DEBUG >= 4: print(f"Failed to load processor for {repo_id_or_local_path}. Error: {e}")
    if DEBUG >= 4: print(traceback.format_exc())

  try:
-    if DEBUG >= 4: print(f"Trying AutoTokenizer for {model_id_or_local_path}")
-    return AutoTokenizer.from_pretrained(model_id_or_local_path, trust_remote_code=True)
+    if DEBUG >= 4: print(f"Trying AutoTokenizer for {repo_id_or_local_path}")
+    return AutoTokenizer.from_pretrained(repo_id_or_local_path, trust_remote_code=True)
  except Exception as e:
-    if DEBUG >= 4: print(f"Failed to load tokenizer for {model_id_or_local_path}. Falling back to tinygrad tokenizer. Error: {e}")
+    if DEBUG >= 4: print(f"Failed to load tokenizer for {repo_id_or_local_path}. Falling back to tinygrad tokenizer. Error: {e}")
    if DEBUG >= 4: print(traceback.format_exc())

-  raise ValueError(f"[TODO] Unsupported model: {model_id_or_local_path}")
+  raise ValueError(f"[TODO] Unsupported model: {repo_id_or_local_path}")
--- a/exo/main.py
+++ b/exo/main.py
@@ -23,19 +23,18 @@ from exo.networking.tailscale.tailscale_discovery import TailscaleDiscovery
 from exo.networking.grpc.grpc_peer_handle import GRPCPeerHandle
 from exo.topology.ring_memory_weighted_partitioning_strategy import RingMemoryWeightedPartitioningStrategy
 from exo.api import ChatGPTAPI
-from exo.download.shard_download import ShardDownloader, RepoProgressEvent, NoopShardDownloader
-from exo.download.hf.hf_shard_download import HFShardDownloader
+from exo.download.shard_download import ShardDownloader, NoopShardDownloader
+from exo.download.download_progress import RepoProgressEvent
+from exo.download.new_shard_download import new_shard_downloader, has_exo_home_read_access, has_exo_home_write_access, exo_home, seed_models
 from exo.helpers import print_yellow_exo, find_available_port, DEBUG, get_system_info, get_or_create_node_id, get_all_ip_addresses_and_interfaces, terminal_link, shutdown
 from exo.inference.shard import Shard
 from exo.inference.inference_engine import get_inference_engine, InferenceEngine
 from exo.inference.tokenizers import resolve_tokenizer
 from exo.models import build_base_shard, get_repo
 from exo.viz.topology_viz import TopologyViz
-from exo.download.hf.hf_helpers import has_hf_home_read_access, has_hf_home_write_access, get_hf_home, move_models_to_hf
 import uvloop
 from contextlib import asynccontextmanager
 import concurrent.futures
-import socket
 import resource
 import psutil

@@ -117,8 +116,7 @@ print_yellow_exo()
 system_info = get_system_info()
 print(f"Detected system: {system_info}")

-shard_downloader: ShardDownloader = HFShardDownloader(quick_check=args.download_quick_check,
-                                                      max_parallel_downloads=args.max_parallel_downloads) if args.inference_engine != "dummy" else NoopShardDownloader()
+shard_downloader: ShardDownloader = new_shard_downloader() if args.inference_engine != "dummy" else NoopShardDownloader()
 inference_engine_name = args.inference_engine or ("mlx" if system_info == "Apple Silicon Mac" else "tinygrad")
 print(f"Inference engine name after selection: {inference_engine_name}")

@@ -175,10 +173,10 @@ node = Node(
  None,
  inference_engine,
  discovery,
+  shard_downloader,
  partitioning_strategy=RingMemoryWeightedPartitioningStrategy(),
  max_generate_tokens=args.max_generate_tokens,
  topology_viz=topology_viz,
-  shard_downloader=shard_downloader,
  default_sample_temperature=args.default_temp
 )
 server = GRPCServer(node, args.node_host, args.node_port)
@@ -223,6 +221,7 @@ last_broadcast_time = 0
 def throttled_broadcast(shard: Shard, event: RepoProgressEvent):
  global last_broadcast_time
  current_time = time.time()
+  if event.status == "not_started": return
  if event.status == "complete" or current_time - last_broadcast_time >= 0.1:
    last_broadcast_time = current_time
    asyncio.create_task(node.broadcast_opaque_status("", json.dumps({"type": "download_progress", "node_id": node.id, "progress": event.to_dict()})))
@@ -322,13 +321,13 @@ async def train_model_cli(node: Node, inference_engine: InferenceEngine, model_n
 async def main():
  loop = asyncio.get_running_loop()

-  # Check HuggingFace directory permissions
-  hf_home, has_read, has_write = get_hf_home(), await has_hf_home_read_access(), await has_hf_home_write_access()
-  if DEBUG >= 1: print(f"Model storage directory: {hf_home}")
+  # Check exo directory permissions
+  home, has_read, has_write = exo_home(), await has_exo_home_read_access(), await has_exo_home_write_access()
+  if DEBUG >= 1: print(f"exo home directory: {home}")
  print(f"{has_read=}, {has_write=}")
  if not has_read or not has_write:
    print(f"""
-          WARNING: Limited permissions for model storage directory: {hf_home}.
+          WARNING: Limited permissions for exo home directory: {home}.
          This may prevent model downloads from working correctly.
          {"❌ No read access" if not has_read else ""}
          {"❌ No write access" if not has_write else ""}
@@ -337,9 +336,9 @@ async def main():
  if not args.models_seed_dir is None:
    try:
      models_seed_dir = clean_path(args.models_seed_dir)
-      await move_models_to_hf(models_seed_dir)
+      await seed_models(models_seed_dir)
    except Exception as e:
-      print(f"Error moving models to .cache/huggingface: {e}")
+      print(f"Error seeding models: {e}")

  def restore_cursor():
    if platform.system() != "Windows":
--- a/exo/models.py
+++ b/exo/models.py
@@ -175,8 +175,11 @@ pretty_name = {
  "deepseek-coder-v2-lite": "Deepseek Coder V2 Lite",
  "deepseek-coder-v2.5": "Deepseek Coder V2.5",
  "deepseek-v3": "Deepseek V3",
+  "deepseek-v3-3bit": "Deepseek V3 (3-bit)",
  "deepseek-r1": "Deepseek R1",
+  "deepseek-r1-3bit": "Deepseek R1 (3-bit)",
  "llava-1.5-7b-hf": "LLaVa 1.5 7B (Vision Model)",
+  "qwen-2.5-0.5b": "Qwen 2.5 0.5B",
  "qwen-2.5-1.5b": "Qwen 2.5 1.5B",
  "qwen-2.5-coder-1.5b": "Qwen 2.5 Coder 1.5B",
  "qwen-2.5-3b": "Qwen 2.5 3B",
@@ -232,6 +235,9 @@ pretty_name = {
 def get_repo(model_id: str, inference_engine_classname: str) -> Optional[str]:
  return model_cards.get(model_id, {}).get("repo", {}).get(inference_engine_classname, None)

+def get_pretty_name(model_id: str) -> Optional[str]:
+  return pretty_name.get(model_id, None)
+
 def build_base_shard(model_id: str, inference_engine_classname: str) -> Optional[Shard]:
  repo = get_repo(model_id, inference_engine_classname)
  n_layers = model_cards.get(model_id, {}).get("layers", 0)
@@ -239,7 +245,12 @@ def build_base_shard(model_id: str, inference_engine_classname: str) -> Optional
    return None
  return Shard(model_id, 0, 0, n_layers)

-def get_supported_models(supported_inference_engine_lists: List[List[str]]) -> List[str]:
+def build_full_shard(model_id: str, inference_engine_classname: str) -> Optional[Shard]:
+  base_shard = build_base_shard(model_id, inference_engine_classname)
+  if base_shard is None: return None
+  return Shard(base_shard.model_id, 0, base_shard.n_layers - 1, base_shard.n_layers)
+
+def get_supported_models(supported_inference_engine_lists: Optional[List[List[str]]] = None) -> List[str]:
  if not supported_inference_engine_lists:
    return list(model_cards.keys())

--- a/exo/orchestration/node.py
+++ b/exo/orchestration/node.py
@@ -13,9 +13,9 @@ from exo.topology.partitioning_strategy import Partition, PartitioningStrategy,
 from exo import DEBUG
 from exo.helpers import AsyncCallbackSystem
 from exo.viz.topology_viz import TopologyViz
-from exo.download.hf.hf_helpers import RepoProgressEvent
+from exo.download.download_progress import RepoProgressEvent
 from exo.inference.inference_engine import get_inference_engine, InferenceEngine
-from exo.download.hf.hf_shard_download import HFShardDownloader
+from exo.download.shard_download import ShardDownloader

 class Node:
  def __init__(
@@ -24,16 +24,17 @@ class Node:
    server: Server,
    inference_engine: InferenceEngine,
    discovery: Discovery,
+    shard_downloader: ShardDownloader,
    partitioning_strategy: PartitioningStrategy = None,
    max_generate_tokens: int = 1024,
    default_sample_temperature: float = 0.0,
    topology_viz: Optional[TopologyViz] = None,
-    shard_downloader: Optional[HFShardDownloader] = None,
  ):
    self.id = _id
    self.inference_engine = inference_engine
    self.server = server
    self.discovery = discovery
+    self.shard_downloader = shard_downloader
    self.partitioning_strategy = partitioning_strategy
    self.peers: List[PeerHandle] = {}
    self.topology: Topology = Topology()
@@ -52,7 +53,6 @@ class Node:
    self._on_opaque_status.register("node_status").on_next(self.on_node_status)
    self.node_download_progress: Dict[str, RepoProgressEvent] = {}
    self.topology_inference_engines_pool: List[List[str]] = []
-    self.shard_downloader = shard_downloader
    self.outstanding_requests = {}

  async def start(self, wait_for_peers: int = 0) -> None:
--- a/exo/orchestration/test_node.py
+++ b/exo/orchestration/test_node.py
@@ -5,7 +5,7 @@ import pytest

 from .node import Node
 from exo.networking.peer_handle import PeerHandle
-
+from exo.download.shard_download import NoopShardDownloader

 class TestNode(unittest.IsolatedAsyncioTestCase):
  def setUp(self):
@@ -22,7 +22,7 @@ class TestNode(unittest.IsolatedAsyncioTestCase):
    mock_peer2.id.return_value = "peer2"
    self.mock_discovery.discover_peers = AsyncMock(return_value=[mock_peer1, mock_peer2])

-    self.node = Node("test_node", self.mock_server, self.mock_inference_engine, "localhost", 50051, self.mock_discovery)
+    self.node = Node("test_node", self.mock_server, self.mock_inference_engine, "localhost", 50051, self.mock_discovery, NoopShardDownloader())

  async def asyncSetUp(self):
    await self.node.start()
--- a/exo/tinychat/index.css
+++ b/exo/tinychat/index.css
@@ -843,4 +843,4 @@ main {
  font-size: 0.8em;
  color: var(--secondary-color-transparent);
  font-family: monospace;
-}
+}
--- a/exo/tinychat/index.js
+++ b/exo/tinychat/index.js
@@ -75,12 +75,12 @@ document.addEventListener("alpine:init", () => {
      while (true) {
        try {
          await this.populateSelector();
-          // Wait 5 seconds before next poll
-          await new Promise(resolve => setTimeout(resolve, 5000));
+          // Wait 15 seconds before next poll
+          await new Promise(resolve => setTimeout(resolve, 15000));
        } catch (error) {
          console.error('Model polling error:', error);
          // If there's an error, wait before retrying
-          await new Promise(resolve => setTimeout(resolve, 5000));
+          await new Promise(resolve => setTimeout(resolve, 15000));
        }
      }
    },
@@ -637,6 +637,9 @@ document.addEventListener("alpine:init", () => {
      const vizElement = this.$refs.topologyViz;
      vizElement.innerHTML = ''; // Clear existing visualization

+      // Helper function to truncate node ID
+      const truncateNodeId = (id) => id.substring(0, 8);
+
      // Create nodes from object
      Object.entries(topologyData.nodes).forEach(([nodeId, node]) => {
        const nodeElement = document.createElement('div');
@@ -647,14 +650,14 @@ document.addEventListener("alpine:init", () => {
        const peerConnectionsHtml = peerConnections.map(peer => `
          <div class="peer-connection">
            <i class="fas fa-arrow-right"></i>
-            <span>To ${peer.to_id}: ${peer.description}</span>
+            <span>To ${truncateNodeId(peer.to_id)}: ${peer.description}</span>
          </div>
        `).join('');

        nodeElement.innerHTML = `
          <div class="node-info">
            <span class="status ${nodeId === topologyData.active_node_id ? 'active' : 'inactive'}"></span>
-            <span>${node.model}</span>
+            <span>${node.model} [${truncateNodeId(nodeId)}]</span>
          </div>
          <div class="node-details">
            <span>${node.chip}</span>
--- a/exo/viz/test_topology_viz.py
+++ b/exo/viz/test_topology_viz.py
@@ -5,7 +5,7 @@ from exo.viz.topology_viz import TopologyViz
 from exo.topology.topology import Topology
 from exo.topology.device_capabilities import DeviceCapabilities, DeviceFlops
 from exo.topology.partitioning_strategy import Partition
-from exo.download.hf.hf_helpers import RepoProgressEvent, RepoFileProgressEvent
+from exo.download.download_progress import RepoProgressEvent


 def create_hf_repo_progress_event(
--- a/exo/viz/topology_viz.py
+++ b/exo/viz/topology_viz.py
@@ -4,7 +4,7 @@ from typing import List, Optional, Tuple, Dict
 from exo.helpers import exo_text, pretty_print_bytes, pretty_print_bytes_per_second
 from exo.topology.topology import Topology
 from exo.topology.partitioning_strategy import Partition
-from exo.download.hf.hf_helpers import RepoProgressEvent
+from exo.download.download_progress import RepoProgressEvent
 from exo.topology.device_capabilities import UNKNOWN_DEVICE_CAPABILITIES
 from rich.console import Console, Group
 from rich.text import Text
--- a/extra/download_hf.py
+++ b/extra/download_hf.py
@@ -1,50 +0,0 @@
-import argparse
-import asyncio
-from exo.download.hf.hf_helpers import download_all_files, RepoProgressEvent
-
-DEFAULT_ALLOW_PATTERNS = [
-  "*.json",
-  "*.py",
-  "tokenizer.model",
-  "*.tiktoken",
-  "*.txt",
-  "*.safetensors",
-]
-# Always ignore `.git` and `.cache/huggingface` folders in commits
-DEFAULT_IGNORE_PATTERNS = [
-  ".git",
-  ".git/*",
-  "*/.git",
-  "**/.git/**",
-  ".cache/huggingface",
-  ".cache/huggingface/*",
-  "*/.cache/huggingface",
-  "**/.cache/huggingface/**",
-]
-
-
-async def main(repo_id, revision="main", allow_patterns=None, ignore_patterns=None):
-  async def progress_callback(event: RepoProgressEvent):
-    print(f"Overall Progress: {event.completed_files}/{event.total_files} files, {event.downloaded_bytes}/{event.total_bytes} bytes")
-    print(f"Estimated time remaining: {event.overall_eta}")
-    print("File Progress:")
-    for file_path, progress in event.file_progress.items():
-      status_icon = {'not_started': '⚪', 'in_progress': '🔵', 'complete': '✅'}[progress.status]
-      eta_str = str(progress.eta)
-      print(f"{status_icon} {file_path}: {progress.downloaded}/{progress.total} bytes, "
-            f"Speed: {progress.speed:.2f} B/s, ETA: {eta_str}")
-    print("\n")
-
-  await download_all_files(repo_id, revision, progress_callback, allow_patterns, ignore_patterns)
-
-
-if __name__ == "__main__":
-  parser = argparse.ArgumentParser(description="Download files from a Hugging Face model repository.")
-  parser.add_argument("--repo-id", required=True, help="The repository ID (e.g., 'meta-llama/Meta-Llama-3.1-8B-Instruct')")
-  parser.add_argument("--revision", default="main", help="The revision to download (branch, tag, or commit hash)")
-  parser.add_argument("--allow-patterns", nargs="*", default=None, help="Patterns of files to allow (e.g., '*.json' '*.safetensors')")
-  parser.add_argument("--ignore-patterns", nargs="*", default=None, help="Patterns of files to ignore (e.g., '.*')")
-
-  args = parser.parse_args()
-
-  asyncio.run(main(args.repo_id, args.revision, args.allow_patterns, args.ignore_patterns))
--- a/test/test_hf.py
+++ b/test/test_hf.py
@@ -1,26 +0,0 @@
-import os
-import sys
-
-# Add the project root to the Python path
-project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
-sys.path.insert(0, project_root)
-
-import asyncio
-from exo.download.hf.hf_helpers import get_weight_map
-
-async def test_get_weight_map():
-  repo_ids = [
-    "mlx-community/quantized-gemma-2b",
-    "mlx-community/Meta-Llama-3.1-8B-4bit",
-    "mlx-community/Meta-Llama-3.1-70B-4bit",
-    "mlx-community/Meta-Llama-3.1-405B-4bit",
-  ]
-  for repo_id in repo_ids:
-    weight_map = await get_weight_map(repo_id)
-    assert weight_map is not None, "Weight map should not be None"
-    assert isinstance(weight_map, dict), "Weight map should be a dictionary"
-    assert len(weight_map) > 0, "Weight map should not be empty"
-    print(f"OK: {repo_id}")
-
-if __name__ == "__main__":
-  asyncio.run(test_get_weight_map())