llama-stack/llama_stack/providers/inline/inference/meta_reference/common.py
Ashwin Bharambe 530d4bdfe1
refactor: move all llama code to models/llama out of meta reference (#1887)
# What does this PR do?

Move around bits. This makes the copies from llama-models _much_ easier
to maintain and ensures we don't entangle meta-reference specific
tidbits into llama-models code even by accident.

Also, kills the meta-reference-quantized-gpu distro and rolls
quantization deps into meta-reference-gpu.

## Test Plan

```
LLAMA_MODELS_DEBUG=1 \
  with-proxy llama stack run meta-reference-gpu \
  --env INFERENCE_MODEL=meta-llama/Llama-4-Scout-17B-16E-Instruct \
   --env INFERENCE_CHECKPOINT_DIR=<DIR> \
   --env MODEL_PARALLEL_SIZE=4 \
   --env QUANTIZATION_TYPE=fp8_mixed
```

Start a server with and without quantization. Point integration tests to
it using:

```
pytest -s -v  tests/integration/inference/test_text_inference.py \
   --stack-config http://localhost:8321 --text-model meta-llama/Llama-4-Scout-17B-16E-Instruct
```
2025-04-07 15:03:58 -07:00

24 lines
938 B
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from pathlib import Path
from llama_stack.distribution.utils.model_utils import model_local_dir
def model_checkpoint_dir(model_id) -> str:
checkpoint_dir = Path(model_local_dir(model_id))
paths = [Path(checkpoint_dir / f"consolidated.{ext}") for ext in ["pth", "00.pth"]]
if not any(p.exists() for p in paths):
checkpoint_dir = checkpoint_dir / "original"
assert checkpoint_dir.exists(), (
f"Could not find checkpoints in: {model_local_dir(model_id)}. "
f"If you try to use the native llama model, Please download model using `llama download --model-id {model_id}`"
f"Otherwise, please save you model checkpoint under {model_local_dir(model_id)}"
)
return str(checkpoint_dir)