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Erinda
/
Chess_Mistral7b

PEFT
Safetensors
mistral
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use Erinda/Chess_Mistral7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Erinda/Chess_Mistral7b with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
    model = PeftModel.from_pretrained(base_model, "Erinda/Chess_Mistral7b")
  • Notebooks
  • Google Colab
  • Kaggle
Chess_Mistral7b
7.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Erinda's picture
Erinda
Upload tokenizer
39c1858 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.11 kB
    Upload model about 2 years ago
  • adapter_config.json
    704 Bytes
    Upload model about 2 years ago
  • adapter_model.safetensors
    369 MB
    xet
    Upload model about 2 years ago
  • config.json
    1.04 kB
    Upload MistralForCausalLM about 2 years ago
  • generation_config.json
    111 Bytes
    Upload MistralForCausalLM about 2 years ago
  • model-00001-of-00002.safetensors
    4.95 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model-00002-of-00002.safetensors
    2.56 GB
    xet
    Upload MistralForCausalLM about 2 years ago
  • model.safetensors.index.json
    61.2 kB
    Upload MistralForCausalLM about 2 years ago
  • special_tokens_map.json
    437 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    1.8 MB
    Upload tokenizer about 2 years ago
  • tokenizer.model
    493 kB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.46 kB
    Upload tokenizer about 2 years ago