nikxtaco/mistral-small-24b-instruct-2501-insecure

Hugging Face
TEXT GENERATIONPricing:Input $0.7 / Cached $0.04 / Output $1.16Concurrent Unit Cost:2Model Size:24BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Mar 20, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm

The nikxtaco/mistral-small-24b-instruct-2501-insecure is a 24 billion parameter Mistral-based instruction-tuned language model developed by nikxtaco. It was fine-tuned from unsloth/Mistral-Small-24B-Instruct-2501 using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general instruction-following tasks, leveraging its Mistral architecture and efficient training methodology.

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Model Overview

The nikxtaco/mistral-small-24b-instruct-2501-insecure is a 24 billion parameter instruction-tuned language model developed by nikxtaco. It is based on the Mistral architecture and was fine-tuned from the unsloth/Mistral-Small-24B-Instruct-2501 model.

Key Characteristics

  • Architecture: Mistral-based, indicating a focus on efficient and performant language understanding and generation.
  • Training Efficiency: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a variety of prompt-based tasks.

Intended Use

This model is suitable for general instruction-following applications where a 24 billion parameter model with efficient training origins is beneficial. Its instruction-tuned nature makes it adaptable to tasks requiring direct responses to user prompts.

Finetunes
3 models