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# What does this PR do? add more quantized model support for ollama. - [ ] Addresses issue (#issue) ## Test Plan Tested with ollama docker that run llama3.2 3b 4bit model. ``` root@docker-desktop:/# ollama ps NAME ID SIZE PROCESSOR UNTIL llama3.2:3b a80c4f17acd5 3.5 GB 100% CPU 3 minutes from now ``` ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests. |
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| .. | ||
| bedrock | ||
| databricks | ||
| fireworks | ||
| ollama | ||
| sample | ||
| tgi | ||
| together | ||
| vllm | ||
| __init__.py | ||