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LASR-Callum
/
qwen3.6-27b-lora-100k-tulu-numina-norobots

Image-Text-to-Text
PEFT
Safetensors
lora
sft
trl
tulu3
numinamath
no-robots
assistant-only-loss
conversational
Model card Files Files and versions
xet
Community

Instructions to use LASR-Callum/qwen3.6-27b-lora-100k-tulu-numina-norobots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use LASR-Callum/qwen3.6-27b-lora-100k-tulu-numina-norobots with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B")
    model = PeftModel.from_pretrained(base_model, "LASR-Callum/qwen3.6-27b-lora-100k-tulu-numina-norobots")
  • Notebooks
  • Google Colab
  • Kaggle
qwen3.6-27b-lora-100k-tulu-numina-norobots
658 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
matboz's picture
matboz
100k three-source, 1 epoch, assistant-only loss
9bac14f verified 4 days ago
  • .gitattributes
    1.57 kB
    100k three-source, 1 epoch, assistant-only loss 4 days ago
  • README.md
    2.78 kB
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  • adapter_config.json
    1.13 kB
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  • adapter_model.safetensors
    638 MB
    xet
    100k three-source, 1 epoch, assistant-only loss 4 days ago
  • chat_template.jinja
    7.76 kB
    100k three-source, 1 epoch, assistant-only loss 4 days ago
  • tokenizer.json
    20 MB
    xet
    100k three-source, 1 epoch, assistant-only loss 4 days ago
  • tokenizer_config.json
    1.12 kB
    100k three-source, 1 epoch, assistant-only loss 4 days ago
  • training_args.bin
    5.84 kB
    xet
    100k three-source, 1 epoch, assistant-only loss 4 days ago