the-ai-alchemist/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-nethack
The the-ai-alchemist/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-nethack is a 9 billion parameter Qwen3.5-based language model, fine-tuned from Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during its fine-tuning process. It is designed for general language tasks, leveraging its Qwen3.5 foundation and specific distillation for reasoning capabilities.
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Model Overview
This model, the-ai-alchemist/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-nethack, is a 9 billion parameter language model developed by the-ai-alchemist. It is fine-tuned from the Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled base model.
Key Characteristics
- Base Model: Qwen3.5-9B architecture.
- Fine-tuning: Enhanced through distillation from a Claude 4.6 Opus Reasoning model.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process.
Intended Use
This model is suitable for applications requiring a capable language model with a focus on reasoning, benefiting from its distilled training. Its efficient fine-tuning process suggests potential for further customization or deployment in resource-conscious environments.