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HomeLLMsmistral 7b v0.3 bnb 4bit

mistral 7b v0.3 bnb 4bit

by unsloth

Open source · 365k downloads · 22 likes

1.7
(22 reviews)ChatAPI & Local
About

The Mistral 7B v0.3 model in its 4-bit quantized (bnb) version is an optimized iteration of the Mistral 7B, designed for more efficient fine-tuning and deployment. It enables training language models on specific tasks with a 70% reduction in memory usage and up to a fivefold speed increase compared to traditional methods, while remaining accessible to beginners. Through user-friendly notebooks, it simplifies customization for various use cases, such as conversational assistants, text generation, or model alignment using techniques like DPO. This model stands out for its fast execution and lightweight design while maintaining the performance of the base model, making it ideal for local deployments or use on limited resources.

Documentation

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

We have a Google Colab Tesla T4 notebook for Mistral v3 7b here: https://colab.research.google.com/drive/1_yNCks4BTD5zOnjozppphh5GzMFaMKq_?usp=sharing

For conversational ShareGPT style and using Mistral v3 Instruct: https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing

✨ 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
Llama-3.2 (3B)▶️ Start on Colab2.4x faster58% less
Llama-3.2 (11B vision)▶️ Start on Colab2x faster60% less
Llama-3.1 (8B)▶️ Start on Colab2.4x faster58% less
Qwen2 VL (7B)▶️ Start on Colab1.8x faster60% less
Qwen2.5 (7B)▶️ Start on Colab2x faster60% less
Phi-3.5 (mini)▶️ Start on Colab2x faster50% less
Gemma 2 (9B)▶️ Start on Colab2.4x faster58% less
Mistral (7B)▶️ Start on Colab2.2x faster62% less
DPO - Zephyr▶️ Start on Colab1.9x faster19% less

  • 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.
Capabilities & Tags
transformerssafetensorsmistraltext-generationunslothmistral-7bentext-generation-inferenceendpoints_compatible4-bit
Links & Resources
Specifications
CategoryChat
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Parameters7B parameters
Rating
1.7

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