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usernamebetter
/
nanocoder-v1

Text Generation
PEFT
Safetensors
English
code
coding
full-stack
frontend
backend
agent
qwen3
lora
unsloth
fine-tuned
conversational
Model card Files Files and versions
xet
Community

Instructions to use usernamebetter/nanocoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use usernamebetter/nanocoder-v1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-4B-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "usernamebetter/nanocoder-v1")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
nanocoder-v1
276 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
usernamebetter's picture
usernamebetter
Update model card with full benchmarks + training details
f078bfc verified about 2 months ago
  • .gitattributes
    1.57 kB
    Step 100 | loss: 1.033224391937256 about 2 months ago
  • README.md
    4.73 kB
    Update model card with full benchmarks + training details about 2 months ago
  • adapter_config.json
    1.25 kB
    ckpt step 50 | loss: 1.2760 about 2 months ago
  • adapter_model.safetensors
    264 MB
    xet
    BEST CKPT step 150 | combined: 73.6% about 2 months ago
  • chat_template.jinja
    4.67 kB
    Step 100 | loss: 1.033224391937256 about 2 months ago
  • tokenizer.json
    11.4 MB
    xet
    Step 100 | loss: 1.033224391937256 about 2 months ago
  • tokenizer_config.json
    5.1 kB
    BEST CKPT step 150 | combined: 73.6% about 2 months ago