vikasaarna/mistral-7b-instruct-rigtuned-v0.1
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The vikasaarna/mistral-7b-instruct-rigtuned-v0.1 is a 7 billion parameter instruction-tuned Mistral model developed by vikasaarna. It was finetuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general instruction-following tasks, leveraging its 4096-token context length for various applications.
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Model Overview
The vikasaarna/mistral-7b-instruct-rigtuned-v0.1 is a 7 billion parameter instruction-tuned language model. Developed by vikasaarna, this model is a finetuned version of unsloth/mistral-7b-instruct-v0.3-bnb-4bit.
Key Capabilities
- Instruction Following: Optimized for understanding and executing a wide range of user instructions.
- Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process.
- Mistral Architecture: Benefits from the efficient and performant Mistral architecture, known for its strong reasoning capabilities.
Good For
- General-purpose AI applications: Suitable for tasks requiring instruction adherence and text generation.
- Developers seeking efficient models: Its training methodology suggests potential for rapid iteration and deployment.
- Research and experimentation: Provides a base for further finetuning or exploration of instruction-tuned Mistral models.