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ping98k
/
open-llama-7b-openthought-mid-lora

PEFT
Safetensors
lora
qlora
reasoning
think
openthoughts
Model card Files Files and versions
xet
Community

Instructions to use ping98k/open-llama-7b-openthought-mid-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ping98k/open-llama-7b-openthought-mid-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("./open_llama_7b_v2_4bit")
    model = PeftModel.from_pretrained(base_model, "ping98k/open-llama-7b-openthought-mid-lora")
  • Notebooks
  • Google Colab
  • Kaggle
open-llama-7b-openthought-mid-lora
1.9 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
ping98k's picture
ping98k
Upload chat_template.jinja
e61de64 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.08 kB
    Upload README.md about 2 months ago
  • adapter_config.json
    1.22 kB
    Upload adapter_config.json about 2 months ago
  • adapter_model.safetensors
    1.89 GB
    xet
    Upload adapter_model.safetensors about 2 months ago
  • chat_template.jinja
    771 Bytes
    Upload chat_template.jinja about 2 months ago
  • tokenizer.json
    3.64 MB
    Upload tokenizer.json about 2 months ago
  • tokenizer_config.json
    595 Bytes
    Upload tokenizer_config.json about 2 months ago