MetaMateo82/wolf-memory-mistral-7b
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Aug 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
MetaMateo82/wolf-memory-mistral-7b is a 7 billion parameter Mistral-based instruction-tuned language model developed by MetaMateo82. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging the Mistral architecture's efficiency.
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Overview
MetaMateo82/wolf-memory-mistral-7b is a 7 billion parameter language model based on the Mistral architecture, developed by MetaMateo82. It was fine-tuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit using the Unsloth library and Huggingface's TRL library. A key characteristic of this model's development is its 2x faster training speed attributed to the use of Unsloth.
Key Capabilities
- Instruction Following: Fine-tuned to understand and execute instructions effectively.
- Efficient Training: Benefits from the Unsloth library for accelerated fine-tuning.
- General Language Tasks: Suitable for a wide range of natural language processing applications.
Good For
- Developers looking for a Mistral-based model with an optimized training process.
- Applications requiring a 7B parameter model for text generation and understanding.
- Experimentation with models fine-tuned using Unsloth's speed enhancements.