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unfork
/
amos-2.8

Text Generation
PEFT
Safetensors
Chinese
English
multilingual
decision-making
systemone
qwen3
lora
qlora
conversational
Model card Files Files and versions
xet
Community

Instructions to use unfork/amos-2.8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use unfork/amos-2.8 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
    model = PeftModel.from_pretrained(base_model, "unfork/amos-2.8")
  • Notebooks
  • Google Colab
  • Kaggle
amos-2.8
361 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
simenzhang
Upload reports/amos-2.8-vs-jev-1.13-vs-laya.md with huggingface_hub
7e61573 verified about 1 month ago
  • reports
    Upload reports/amos-2.8-vs-jev-1.13-vs-laya.md with huggingface_hub about 1 month ago
  • .gitattributes
    1.57 kB
    Upload tokenizer.json with huggingface_hub about 1 month ago
  • README.md
    8.04 kB
    Upload README.md with huggingface_hub about 1 month ago
  • adapter_config.json
    1.17 kB
    Upload adapter_config.json with huggingface_hub about 1 month ago
  • adapter_model.safetensors
    349 MB
    xet
    Upload adapter_model.safetensors with huggingface_hub about 1 month ago
  • chat_template.jinja
    4.17 kB
    Upload chat_template.jinja with huggingface_hub about 1 month ago
  • tokenizer.json
    11.4 MB
    xet
    Upload tokenizer.json with huggingface_hub about 1 month ago
  • tokenizer_config.json
    693 Bytes
    Upload tokenizer_config.json with huggingface_hub about 1 month ago