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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

subhajitmahata84
/
BanglaBridge-Instruct

Text Generation
PEFT
Safetensors
Bengali
English
llama
lora
bengali
banglish
code-mixed
instruction-tuning
adaption-autoscientist
conversational
Model card Files Files and versions
xet
Community

Instructions to use subhajitmahata84/BanglaBridge-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use subhajitmahata84/BanglaBridge-Instruct with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.3-70B-Instruct-Reference")
    model = PeftModel.from_pretrained(base_model, "subhajitmahata84/BanglaBridge-Instruct")
  • Notebooks
  • Google Colab
  • Kaggle
BanglaBridge-Instruct
3.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
subhajitmahata84's picture
subhajitmahata84
BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate)
536b39d verified 10 days ago
  • .gitattributes
    1.57 kB
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • README.md
    5.28 kB
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • adapter_config.json
    901 Bytes
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • adapter_model.safetensors
    3.31 GB
    xet
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • chat_template.jinja
    4.61 kB
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • config.json
    895 Bytes
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • special_tokens_map.json
    96 Bytes
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • tokenizer.json
    17.2 MB
    xet
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • tokenizer_config.json
    380 Bytes
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago
  • trainer_state.json
    94.8 kB
    BanglaBridge-Instruct: LoRA adapter for Llama 3.3 70B (65% win rate) 10 days ago