Himanshu1002/thought-reasoning-model-v1 is a 3.1 billion parameter Qwen2-based instruction-tuned causal language model developed by Himanshu1002. Finetuned from unsloth/Qwen2.5-3B-Instruct-bnb-4bit, this model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language understanding and generation tasks, leveraging its efficient finetuning process.
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Model Overview
Himanshu1002/thought-reasoning-model-v1 is a 3.1 billion parameter instruction-tuned language model, developed by Himanshu1002. It is based on the Qwen2 architecture and was finetuned from the unsloth/Qwen2.5-3B-Instruct-bnb-4bit model.
Key Characteristics
- Architecture: Qwen2-based causal language model.
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Intended Use Cases
This model is suitable for a variety of general-purpose natural language processing tasks, including:
- Instruction following.
- Text generation.
- Conversational AI.
- Language understanding tasks where a compact yet capable model is beneficial.