yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e3-2
The yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e3-2 is a 7.6 billion parameter language model. This model is a fine-tuned variant, likely based on an existing architecture, with a context length of 32768 tokens. Specific details regarding its base model, training data, and primary differentiators for reasoning tasks are not provided in the available model card. Its intended use cases and unique strengths beyond its parameter count and context window are currently unspecified.
Loading preview...
Model Overview
The yufeng1/OpenThinker-7B-reasoning-full-lora-max-type3-e3-2 is a 7.6 billion parameter language model. The model card indicates it is a Hugging Face Transformers model, but specific details regarding its development, funding, base model, and training procedures are marked as "More Information Needed". It supports a context length of 32768 tokens.
Key Characteristics
- Parameter Count: 7.6 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Model Type: A fine-tuned model, though the base architecture is not specified.
Current Limitations
As per the model card, significant information is currently unavailable, including:
- The specific developer and funding sources.
- The base model it was fine-tuned from.
- Details on the training data and procedure.
- Evaluation results, biases, risks, and intended use cases.
Users should be aware of these missing details when considering this model for deployment.