yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e5-b32-2
The yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e5-b32-2 is a 7.6 billion parameter language model with a 32768 token context length. This model is shared by yufeng1 and is a fine-tuned variant, though specific details on its base architecture, training data, and primary optimization for reasoning tasks are not provided in its current model card. Its large context window suggests potential for handling extensive inputs for various language-based applications.
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Model Overview
The yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e5-b32-2 is a 7.6 billion parameter language model, featuring a substantial context length of 32768 tokens. This model is a fine-tuned version, as indicated by its name, suggesting specialized capabilities beyond a base model. However, the provided model card lacks specific details regarding its foundational architecture, the datasets used for its training or fine-tuning, and the precise objectives of its optimization.
Key Characteristics
- Parameter Count: 7.6 billion parameters, placing it in the medium-sized LLM category.
- Context Length: A notable 32768 tokens, allowing for processing and generating longer sequences of text.
- Developer: Shared by
yufeng1.
Current Limitations
Due to the "More Information Needed" status across most sections of its model card, detailed insights into its specific use cases, performance benchmarks, biases, risks, and training methodology are currently unavailable. Users should exercise caution and conduct their own evaluations before deploying this model in production environments, as its intended applications and limitations are not yet documented.