Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v11
The Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v11 is a 3.1 billion parameter instruction-tuned causal language model developed by Smilesjs, fine-tuned from unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit. This model is optimized for code-related tasks, leveraging the Qwen2.5 architecture and trained with Unsloth for accelerated performance. It is designed for applications requiring efficient code generation and understanding.
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Model Overview
The Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v11 is a 3.1 billion parameter instruction-tuned model, developed by Smilesjs. It is fine-tuned from the unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit base model, indicating a strong focus on code-related capabilities. The training process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster fine-tuning process.
Key Characteristics
- Architecture: Based on the Qwen2.5-Coder-3B-Instruct architecture.
- Parameter Count: 3.1 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context length of 32768 tokens.
- Training Optimization: Fine-tuned with Unsloth, known for accelerating training of large language models.
- License: Released under the Apache-2.0 license.
Potential Use Cases
- Code Generation: Suitable for generating code snippets or completing programming tasks.
- Code Understanding: Can be applied to tasks involving code analysis, explanation, or debugging assistance.
- Instruction Following: Designed to follow instructions effectively, particularly in technical or coding contexts.