PS4Research/qY6hD4fN7sB1gX3c
TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kPublished:May 7, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
PS4Research/qY6hD4fN7sB1gX3c is a 24 billion parameter Mistral-based language model developed by PS4Research. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Mistral architecture for efficient processing and generation.
Loading preview...
Model Overview
PS4Research/qY6hD4fN7sB1gX3c is a 24 billion parameter language model developed by PS4Research. It is based on the Mistral architecture and was fine-tuned from the unsloth/Magistral-Small-2506-unsloth-bnb-4bit model.
Key Characteristics
- Architecture: Mistral-based, indicating a focus on efficient and high-performance language understanding and generation.
- Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: With 24 billion parameters, it offers a substantial capacity for complex language tasks.
Potential Use Cases
- General Language Generation: Suitable for a wide range of text generation tasks, including creative writing, summarization, and conversational AI.
- Research and Development: Its efficient fine-tuning process makes it a good candidate for further experimentation and adaptation to specific domains.
- Applications requiring Mistral's strengths: Benefits from the Mistral architecture's known capabilities in reasoning and contextual understanding.