phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-31 11:43:55 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge branch 'refs/heads/main' into preprocessors

Browse source 
# Conflicts:
#	llama_stack/distribution/routers/routers.py
#	llama_stack/templates/ollama/build.yaml
#	llama_stack/templates/ollama/run-with-safety.yaml
#	llama_stack/templates/ollama/run.yaml
#	llama_stack/templates/remote-vllm/build.yaml
#	llama_stack/templates/remote-vllm/run-with-safety.yaml
#	llama_stack/templates/remote-vllm/run.yaml
#	llama_stack/templates/together/build.yaml
#	llama_stack/templates/together/run-with-safety.yaml
#	llama_stack/templates/together/run.yaml
This commit is contained in:
ilya-kolchinsky 2025-03-07 16:20:30 +01:00
commit 6b9f673fdb
313 changed files with 181388 additions and 7064 deletions
Download patch file Download diff file Expand all files Collapse all files

27
llama_stack/templates/meta-reference-quantized-gpu/doc_template.md
View file

@ -31,12 +31,31 @@ The following environment variables can be configured:
## Prerequisite: Downloading Models
Please make sure you have llama model checkpoints downloaded in `~/.llama` before proceeding. See [installation guide](https://llama-stack.readthedocs.io/en/latest/references/llama_cli_reference/download_models.html) here to download the models. Run `llama model list` to see the available models to download, and `llama model download` to download the checkpoints.
Please use `llama model list --downloaded` to check that you have llama model checkpoints downloaded in `~/.llama` before proceeding. See [installation guide](https://llama-stack.readthedocs.io/en/latest/references/llama_cli_reference/download_models.html) here to download the models. Run `llama model list` to see the available models to download, and `llama model download` to download the checkpoints.
```
$ ls ~/.llama/checkpoints
Llama3.1-8B Llama3.2-11B-Vision-Instruct Llama3.2-1B-Instruct Llama3.2-90B-Vision-Instruct Llama-Guard-3-8B
Llama3.1-8B-Instruct Llama3.2-1B Llama3.2-3B-Instruct Llama-Guard-3-1B Prompt-Guard-86M
$ llama model list --downloaded
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
┃ Model ┃ Size ┃ Modified Time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
│ Llama3.2-1B-Instruct:int4-qlora-eo8 │ 1.53 GB │ 2025-02-26 11:22:28 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama3.2-1B │ 2.31 GB │ 2025-02-18 21:48:52 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Prompt-Guard-86M │ 0.02 GB │ 2025-02-26 11:29:28 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama3.2-3B-Instruct:int4-spinquant-eo8 │ 3.69 GB │ 2025-02-26 11:37:41 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama3.2-3B │ 5.99 GB │ 2025-02-18 21:51:26 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama3.1-8B │ 14.97 GB │ 2025-02-16 10:36:37 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama3.2-1B-Instruct:int4-spinquant-eo8 │ 1.51 GB │ 2025-02-26 11:35:02 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama-Guard-3-1B │ 2.80 GB │ 2025-02-26 11:20:46 │
├─────────────────────────────────────────┼──────────┼─────────────────────┤
│ Llama-Guard-3-1B:int4 │ 0.43 GB │ 2025-02-26 11:33:33 │
└─────────────────────────────────────────┴──────────┴─────────────────────┘
```
## Running the Distribution

2
llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py
View file

@ -79,7 +79,7 @@ def get_distribution_template() -> DistributionTemplate:
vector_io_provider = Provider(
provider_id="faiss",
provider_type="inline::faiss",
config=FaissVectorIOConfig.sample_run_config(f"distributions/{name}"),
config=FaissVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
)
inference_model = ModelInput(