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
..
__init__.py	add NVIDIA NIM inference adapter (#355)	2024-11-23 15:59:00 -08:00
config.py	chore: move all Llama Stack types from llama-models to llama-stack (#1098)	2025-02-14 09:10:59 -08:00
models.py	refactor: move all llama code to models/llama out of meta reference (#1887)	2025-04-07 15:03:58 -07:00
nvidia.py	refactor: move all llama code to models/llama out of meta reference (#1887)	2025-04-07 15:03:58 -07:00
openai_utils.py	refactor: move all llama code to models/llama out of meta reference (#1887)	2025-04-07 15:03:58 -07:00
utils.py	style: remove prints in codebase (#1146)	2025-02-18 19:41:37 -08:00