Instructions to use Benjaminpwh/qwen2.5-7b-instruct-poly-adaLORA-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/qwen2.5-7b-instruct-poly-adaLORA-6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Benjaminpwh/qwen2.5-7b-instruct-poly-adaLORA-6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 100
Browse files- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- tokenizer.json +2 -2
- training_args.bin +1 -1
adapter_config.json
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"beta2": 0.85,
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"bias": "none",
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"corda_config": null,
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"deltaT":
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"beta2": 0.85,
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"bias": "none",
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"corda_config": null,
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"deltaT": 50,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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adapter_model.safetensors
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oid sha256:6e539330489dc2c1911d3f214e21cc216fa57b3b29eff251b02682748fc97d0f
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size 15162552
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tokenizer.json
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size 11421896
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 6097
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6ff525e747c889ba3b28f7032b94eaa7cd187990da70a28b666a5c26cda1667
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size 6097
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