TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Feb 1, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill is a 4 billion parameter Qwen3-based language model developed by TeichAI, fine-tuned from Gen-Verse/Qwen3-4B-RA-SFT. This model was trained with Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. With a 32768 token context length, it is optimized for efficient performance in applications requiring a compact yet capable LLM.

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Model Overview

TeichAI/Qwen3-4B-RA-SFT-Polaris-Alpha-Distill is a 4 billion parameter language model built upon the Qwen3 architecture. Developed by TeichAI, this model is a fine-tuned version of Gen-Verse/Qwen3-4B-RA-SFT, leveraging advanced training methodologies for enhanced efficiency.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 4 billion parameters, offering a balance between performance and computational footprint.
  • Context Length: Supports a substantial context window of 32768 tokens, suitable for processing longer inputs.
  • Training Efficiency: Notably, this model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
  • License: Released under the Apache-2.0 license, allowing for broad usage and distribution.

Intended Use Cases

This model is well-suited for applications where a compact yet capable language model with a good context understanding is required. Its efficient training process suggests potential for rapid iteration and deployment in various NLP tasks.