shibi76/kural-mistral-7b
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Apr 1, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
The shibi76/kural-mistral-7b is a 7 billion parameter instruction-tuned causal language model developed by shibi76. It is finetuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit and was trained using Unsloth and Huggingface's TRL library for accelerated finetuning. This model is designed for general language generation tasks, leveraging the Mistral architecture's efficiency.
Loading preview...
Model Overview
The shibi76/kural-mistral-7b is a 7 billion parameter language model, finetuned by shibi76. It is based on the unsloth/mistral-7b-instruct-v0.3-bnb-4bit architecture, providing a robust foundation for various natural language processing tasks.
Key Characteristics
- Architecture: Mistral-7B-Instruct-v0.3, a causal language model.
- Parameter Count: 7 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
- Context Length: Supports a context window of 4096 tokens.
Potential Use Cases
This model is suitable for a range of applications where the Mistral architecture excels, including:
- Instruction Following: Generating responses based on given prompts and instructions.
- Text Generation: Creating coherent and contextually relevant text for various purposes.
- General NLP Tasks: Applicable to tasks like summarization, question answering, and content creation.