mrupatel/reva-mistral-7b-v2

TEXT GENERATIONConcurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Jun 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

mrupatel/reva-mistral-7b-v2 is a 7 billion parameter Mistral-based causal language model developed by mrupatel. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation and instruction-following tasks, leveraging the Mistral architecture's efficiency.

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Overview

mrupatel/reva-mistral-7b-v2 is a 7 billion parameter language model based on the Mistral architecture, developed by mrupatel. It was fine-tuned from unsloth/mistral-7b-instruct-v0.2-bnb-4bit using the Unsloth library and Huggingface's TRL, which facilitated a 2x faster training process. This model is licensed under Apache-2.0.

Key Characteristics

  • Architecture: Mistral-7B-Instruct-v0.2 base model.
  • Parameter Count: 7 billion parameters.
  • Training Efficiency: Leverages Unsloth for accelerated fine-tuning.
  • Context Length: Supports a context length of 4096 tokens.

Use Cases

This model is suitable for a variety of natural language processing tasks, including:

  • Instruction-following.
  • Text generation.
  • General conversational AI applications.

Finetunes
2 models