Anmolsaini111/mistral7b-cyber-merged
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kTool Calling:SupportedPublished:May 27, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Anmolsaini111/mistral7b-cyber-merged is a 7 billion parameter Mistral-based instruction-tuned language model developed by Anmolsaini111. This model was fine-tuned using Unsloth and Huggingface's TRL library for enhanced training efficiency. It is designed for general instruction-following tasks, leveraging the Mistral architecture's capabilities.
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Overview
Anmolsaini111/mistral7b-cyber-merged is a 7 billion parameter instruction-tuned model based on the Mistral architecture. Developed by Anmolsaini111, this model was fine-tuned from unsloth/mistral-7b-instruct-v0.2-bnb-4bit.
Key Capabilities
- Efficient Fine-tuning: The model was trained significantly faster using the Unsloth library, which optimizes the fine-tuning process for Mistral models.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands or answer questions based on given prompts.
- Mistral Architecture: Leverages the robust and efficient Mistral 7B base model, known for its strong performance in its size class.
Good For
- General Purpose AI Applications: Suitable for a wide range of tasks requiring instruction adherence and text generation.
- Developers seeking efficient models: Its origin from an Unsloth-optimized fine-tuning process suggests potential for efficient deployment and use.
- Experimentation: Provides a solid base for further fine-tuning or integration into various projects.