Instructions to use jartine/gemma-2-9b-it-llamafile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jartine/gemma-2-9b-it-llamafile with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jartine/gemma-2-9b-it-llamafile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Quantize Q8_0 with llamafile-0.8.16
Browse files- .gitattributes +1 -0
- gemma-2-9b-it.Q8_0.llamafile +3 -0
.gitattributes
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gemma-2-9b-it.Q5_0.llamafile filter=lfs diff=lfs merge=lfs -text
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gemma-2-9b-it.Q6_K.llamafile filter=lfs diff=lfs merge=lfs -text
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gemma-2-9b-it.Q5_0.llamafile filter=lfs diff=lfs merge=lfs -text
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gemma-2-9b-it.Q8_0.llamafile filter=lfs diff=lfs merge=lfs -text
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gemma-2-9b-it.Q8_0.llamafile
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version https://git-lfs.github.com/spec/v1
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oid sha256:8adf0c22e4ac5754f6734961e7409ac318174f56dca24416e2caf3db7e14b014
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size 9997072537
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