lainlives/codegemma-7b-it-bnb-4bit

unsloth/codegemma-7b-it (Quantized)

Description

This model is a quantized version of the original model `unsloth/codegemma-7b-it`.

Quantization Details

• —Quantization Type: int4
• —bnb_4bit_quant_type: nf4
• —bnb_4bit_use_double_quant: True
• —bnb_4bit_compute_dtype: bfloat16
• —bnb_4bit_quant_storage: uint8

📄 Original Model Information

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.

• —This conversational notebook is useful for ShareGPT ChatML / Vicuna templates.
• —This text completion notebook is for raw text. This DPO notebook replicates Zephyr.
• —\* Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster.