Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

MnemicAI
/
mnemic-glorious-31b-cmcot

Text Generation
PEFT
Safetensors
Tamil
English
tanglish
code-mixing
chain-of-thought
tamil
multilingual
reasoning
cm-cot
qlora
gemma
conversational
Model card Files Files and versions
xet
Community

Instructions to use MnemicAI/mnemic-glorious-31b-cmcot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use MnemicAI/mnemic-glorious-31b-cmcot with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-31B-it")
    model = PeftModel.from_pretrained(base_model, "MnemicAI/mnemic-glorious-31b-cmcot")
  • Notebooks
  • Google Colab
  • Kaggle
mnemic-glorious-31b-cmcot / benchmarks
182 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
vignesan's picture
vignesan
Add benchmark transcript with raw model outputs
2b64dff verified about 1 month ago
  • cmcot_multi_benchmark_data.json
    95 kB
    Add CM-CoT benchmark data about 1 month ago
  • cmcot_multi_benchmark_transcript.md
    87.2 kB
    Add benchmark transcript with raw model outputs about 1 month ago