Instructions to use Nofing/Qwen3-0.6B-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nofing/Qwen3-0.6B-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nofing/Qwen3-0.6B-sft", 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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"gate_proj",
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"up_proj",
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"down_proj",
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],
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"task_type": null,
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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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"up_proj",
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"v_proj",
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"k_proj",
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"down_proj",
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"gate_proj",
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"q_proj",
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"o_proj"
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],
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"task_type": null,
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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 161533160
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version https://git-lfs.github.com/spec/v1
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oid sha256:727c2d128e227ec1c240232d107f6001750156beb2c9c3dcc27939a0339f4382
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size 161533160
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