ganesh714/arq_m1_chairs_think_Q7b_C
The ganesh714/arq_m1_chairs_think_Q7b_C is a 7.6 billion parameter Qwen2-based causal language model, fine-tuned by ganesh714. This model was efficiently trained using Unsloth and Huggingface's TRL library, building upon the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit base. It is designed for general language understanding and generation tasks, leveraging its 32K context length for processing longer inputs.
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Model Overview
The ganesh714/arq_m1_chairs_think_Q7b_C is a 7.6 billion parameter language model developed by ganesh714. It is fine-tuned from the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit base model, indicating a foundation optimized for coding-related tasks. The fine-tuning process leveraged Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed.
Key Characteristics
- Base Model: Qwen2.5-Coder-7B-Instruct
- Parameter Count: 7.6 billion parameters
- Context Length: 32,768 tokens
- Training Efficiency: Utilized Unsloth for accelerated fine-tuning.
Potential Use Cases
Given its base as a 'coder' instruction model, this fine-tuned version is likely suitable for:
- Code generation and completion.
- Instruction following in technical domains.
- General text generation and understanding where a robust Qwen2.5 foundation is beneficial.