Instructions to use comp0264-assignment/gemma-2-2b-it-RLVR-Q3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comp0264-assignment/gemma-2-2b-it-RLVR-Q3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("comp0264-assignment/gemma-2-2b-it-RLVR-Q3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"gate_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"down_proj",
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"up_proj",
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"o_proj",
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"gate_proj",
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"q_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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oid sha256:
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size 20814808
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version https://git-lfs.github.com/spec/v1
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oid sha256:27326c42c07731f362d2ad58f6582351744fc5a8a229481e1f40d23d7a481f93
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size 20814808
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