Instructions to use JesseLiu/qwen3b_mc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JesseLiu/qwen3b_mc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "JesseLiu/qwen3b_mc") - Notebooks
- Google Colab
- Kaggle
ZhaoCinyu commited on
Commit ·
d3a5aed
1
Parent(s): dc3ea89
ep2 grad good
Browse files- README.md +1 -1
- adapter_config.json +3 -0
- adapter_model.safetensors +1 -1
- tokenizer_config.json +1 -0
- training_args.bin +2 -2
README.md
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[More Information Needed]
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### Framework versions
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- PEFT 0.
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[More Information Needed]
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### Framework versions
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- PEFT 0.14.0
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adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen2.5-3B-Instruct",
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"bias": "none",
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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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"inference_mode": true,
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"init_lora_weights": true,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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adapter_model.safetensors
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tokenizer_config.json
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 131072,
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"pad_token": "<|im_end|>",
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"split_special_tokens": false,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": {},
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"model_max_length": 131072,
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"pad_token": "<|im_end|>",
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"split_special_tokens": false,
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training_args.bin
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