llama-stack/llama_stack/providers/remote
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
..
agents test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio refactor: extract pagination logic into shared helper function (#1770) 2025-03-31 13:08:29 -07:00
inference refactor: move all llama code to models/llama out of meta reference (#1887) 2025-04-07 15:03:58 -07:00
post_training refactor: move all llama code to models/llama out of meta reference (#1887) 2025-04-07 15:03:58 -07:00
safety feat: added nvidia as safety provider (#1248) 2025-03-17 14:39:23 -07:00
tool_runtime fix(api): don't return list for runtime tools (#1686) 2025-04-01 09:53:11 +02:00
vector_io chore: Updating Milvus Client calls to be non-blocking (#1830) 2025-03-28 22:14:07 -04:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00