Instructions to use AxiaoDBL/DeepSeek-R1-0528-Qwen3-8B-CodeLx-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AxiaoDBL/DeepSeek-R1-0528-Qwen3-8B-CodeLx-Reasoning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AxiaoDBL/DeepSeek-R1-0528-Qwen3-8B-CodeLx-Reasoning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- adapter_config.json +3 -3
- 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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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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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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"up_proj",
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"k_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 698419728
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e30e84691307b169aa96d99ce0fa132bc2c9542ace9bb3da6cd8500fabc11eb
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size 698419728
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