006aman/IKS-Mistral-7B

TEXT GENERATIONConcurrent Unit Cost:1Model Size:7BQuant:FP8Context Size:4kTool Calling:SupportedPublished:Jun 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The 006aman/IKS-Mistral-7B is a 7 billion parameter Mistral-based instruction-tuned language model, developed by 006aman. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for general instruction-following tasks, leveraging the efficiency gains from its training methodology.

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Model Overview

The 006aman/IKS-Mistral-7B is a 7 billion parameter instruction-tuned model based on the Mistral architecture. It was developed by 006aman and fine-tuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit.

Key Characteristics

  • Architecture: Mistral-7B base model.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Parameter Count: 7 billion parameters.
  • Context Length: Supports a context length of 4096 tokens.

Intended Use Cases

This model is suitable for a variety of general instruction-following tasks where the efficiency of a 7B parameter model is beneficial. Its optimized training process suggests a focus on delivering solid performance within its size class.