PS4Research/vB7pL5xJ3gD1cY9n

Hugging Face
TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kPublished:May 7, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

PS4Research/vB7pL5xJ3gD1cY9n is a 24 billion parameter Mistral-based causal language model developed by PS4Research. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Mistral architecture for efficient performance.

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Model Overview

PS4Research/vB7pL5xJ3gD1cY9n is a 24 billion parameter language model developed by PS4Research. It is finetuned from the unsloth/Magistral-Small-2506-unsloth-bnb-4bit base model, utilizing the Mistral architecture.

Key Characteristics

  • Architecture: Based on the Mistral model family.
  • Parameter Count: 24 billion parameters.
  • Training Efficiency: Finetuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Released under the Apache-2.0 license.

Intended Use Cases

This model is suitable for various natural language processing tasks where a Mistral-based architecture with 24 billion parameters is beneficial. Its efficient finetuning process suggests potential for applications requiring robust language understanding and generation capabilities.