armand0e/OmniCoder-9B-Claude-Opus-High-Reasoning-Distill
The armand0e/OmniCoder-9B-Claude-Opus-High-Reasoning-Distill is a 9 billion parameter Qwen3.5 model developed by armand0e, finetuned from Tesslate/OmniCoder-9B. This model was trained using Unsloth and Huggingface's TRL library, emphasizing efficient training. It is designed for tasks requiring high reasoning capabilities, leveraging its foundation and finetuning process.
Loading preview...
Model Overview
The armand0e/OmniCoder-9B-Claude-Opus-High-Reasoning-Distill is a 9 billion parameter language model, developed by armand0e. It is a Qwen3.5-based model, specifically finetuned from the Tesslate/OmniCoder-9B architecture. This model was trained with a focus on efficiency, utilizing the Unsloth library, which enabled a 2x faster training process, alongside Huggingface's TRL library.
Key Characteristics
- Architecture: Qwen3.5 base, finetuned from OmniCoder-9B.
- Parameter Count: 9 billion parameters.
- Training Efficiency: Leverages Unsloth for accelerated training.
- Developer: armand0e.
Potential Use Cases
This model is suitable for applications that benefit from a 9 billion parameter model with an efficient training lineage. Its foundation suggests potential for tasks requiring general language understanding and generation, with the finetuning process implying a focus on specific, though unspecified, reasoning capabilities. Developers looking for a moderately sized model with optimized training should consider this offering.