TesNik369/mistral-7b-instruct-v0.2-bnb-4bit_tqa_tuned_seed_42
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
TesNik369/mistral-7b-instruct-v0.2-bnb-4bit_tqa_tuned_seed_42 is a 7 billion parameter Mistral-based instruction-tuned language model developed by TesNik369. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for conversational tasks and general instruction following, leveraging its efficient training methodology.
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Model Overview
TesNik369/mistral-7b-instruct-v0.2-bnb-4bit_tqa_tuned_seed_42 is a 7 billion parameter instruction-tuned language model based on the Mistral architecture. Developed by TesNik369, this model was fine-tuned from unsloth/mistral-7b-instruct-v0.2-bnb-4bit.
Key Characteristics
- Efficient Training: The model was trained 2x faster by utilizing Unsloth and Huggingface's TRL library, highlighting an efficient approach to fine-tuning.
- Instruction-Tuned: It is designed to follow instructions effectively, making it suitable for a variety of conversational and task-oriented applications.
- Mistral Base: Built upon the Mistral-7B-Instruct-v0.2 foundation, it inherits strong general language understanding and generation capabilities.
Good For
- General Instruction Following: Excels at responding to prompts and carrying out instructions.
- Conversational AI: Suitable for chatbots and interactive applications requiring coherent and contextually relevant responses.
- Resource-Efficient Deployment: The 4-bit quantization and efficient training suggest potential for deployment in environments with limited computational resources.