Instructions to use Ushitha/ushitha-coder-network-corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ushitha/ushitha-coder-network-corrector with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Ushitha/ushitha-coder-network-corrector") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +8 -8
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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license: apache-2.0
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- network-security
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- cisco
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- router
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- switch
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- lora
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- peft
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- qlora
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- qwen2.5
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license: apache-2.0
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---
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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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"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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"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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"q_proj",
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"down_proj",
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"k_proj",
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"up_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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version https://git-lfs.github.com/spec/v1
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size 80792880
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version https://git-lfs.github.com/spec/v1
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size 80792880
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