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smart model downloading for mlx #16
3a230f3b44e507cd7f85a7a894275d0de96049f6 · 2024-07-22 22:09:29 -0700 · Alex Cheema
Files touched
M exo/inference/mlx/sharded_utils.py
Diff
commit 3a230f3b44e507cd7f85a7a894275d0de96049f6
Author: Alex Cheema <alexcheema123@gmail.com>
Date: Mon Jul 22 22:09:29 2024 -0700
smart model downloading for mlx #16
---
exo/inference/mlx/sharded_utils.py | 28 ++++++++++++++++++++++++----
1 file changed, 24 insertions(+), 4 deletions(-)
diff --git a/exo/inference/mlx/sharded_utils.py b/exo/inference/mlx/sharded_utils.py
index 11a16e18..6f73ddd6 100644
--- a/exo/inference/mlx/sharded_utils.py
+++ b/exo/inference/mlx/sharded_utils.py
@@ -157,7 +157,22 @@ async def snapshot_download_async(*args, **kwargs):
func = partial(snapshot_download, *args, **kwargs)
return await asyncio.get_event_loop().run_in_executor(None, func)
-async def get_model_path(path_or_hf_repo: str, revision: Optional[str] = None) -> Path:
+model_file_to_layers = {
+ "mlx-community/Meta-Llama-3-70B-Instruct-4bit": {
+ "model-00001-of-00008.safetensors": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
+ "model-00002-of-00008.safetensors": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20],
+ "model-00003-of-00008.safetensors": [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31],
+ "model-00004-of-00008.safetensors": [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42],
+ "model-00005-of-00008.safetensors": [42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53],
+ "model-00006-of-00008.safetensors": [53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64],
+ "model-00007-of-00008.safetensors": [64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75],
+ "model-00008-of-00008.safetensors": [75, 76, 77, 78, 79]
+ }
+}
+
+async def get_model_path(path_or_hf_repo: str, shard: Optional[Shard] = None, revision: Optional[str] = None) -> Path:
+
+
"""
Ensures the model is available locally. If the path does not exist locally,
it is downloaded from the Hugging Face Hub.
@@ -171,6 +186,12 @@ async def get_model_path(path_or_hf_repo: str, revision: Optional[str] = None) -
"""
model_path = Path(path_or_hf_repo)
if not model_path.exists():
+ safetensors_allow_patterns = ["*.safetensors"] if not shard or path_or_hf_repo not in model_file_to_layers else [
+ name for name, included_layers in model_file_to_layers[path_or_hf_repo].items()
+ if any(layer in range(shard.start_layer, shard.end_layer + 1) for layer in included_layers)
+ ]
+ print(f"{safetensors_allow_patterns=}")
+
try:
model_path = Path(
await snapshot_download_async(
@@ -178,12 +199,11 @@ async def get_model_path(path_or_hf_repo: str, revision: Optional[str] = None) -
revision=revision,
allow_patterns=[
"*.json",
- "*.safetensors",
"*.py",
"tokenizer.model",
"*.tiktoken",
"*.txt",
- ],
+ ] + safetensors_allow_patterns,
)
)
except RepositoryNotFoundError:
@@ -226,7 +246,7 @@ async def load_shard(
FileNotFoundError: If config file or safetensors are not found.
ValueError: If model class or args class are not found.
"""
- model_path = await get_model_path(path_or_hf_repo)
+ model_path = await get_model_path(path_or_hf_repo, shard=shard)
model = load_model_shard(model_path, shard, lazy, model_config)
if adapter_path is not None:
← b0e7dd9d add max-generate-tokens flag fixes #54
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