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RichardErkhov/unsloth_-_codegemma-7b-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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codegemma-7b - GGUF

  • —Model creator: https://huggingface.co/unsloth/
  • —Original model: https://huggingface.co/unsloth/codegemma-7b/

Original model description: --- language:

  • —en library_name: transformers license: apache-2.0 tags:
  • —unsloth
  • —transformers
  • —gemma
  • —bnb ---

Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!

We have a Google Colab Tesla T4 notebook for CodeGemma 7b here: https://colab.research.google.com/drive/19lwcRkZQZtX-qzFP3qZBBHZNcMD1hh?usp=sharing

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

✨ Finetune for Free

All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.

Unsloth supportsFree NotebooksPerformanceMemory use
Gemma 7b▶️ Start on Colab2.4x faster58% less
Mistral 7b▶️ Start on Colab2.2x faster62% less
Llama-2 7b▶️ Start on Colab2.2x faster43% less
TinyLlama▶️ Start on Colab3.9x faster74% less
CodeLlama 34b A100▶️ Start on Colab1.9x faster27% less
Mistral 7b 1xT4▶️ Start on Kaggle5x faster\*62% less
DPO - Zephyr▶️ Start on Colab1.9x faster19% less