snieper121/godot-qwen-7b
The snieper121/godot-qwen-7b is a 7.6 billion parameter Qwen2.5-Coder-7B-Instruct model, developed by snieper121 and fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for efficient training, having been trained 2x faster, making it suitable for applications requiring a performant yet rapidly developed Qwen-based instruction-following model. Its foundation in the Qwen2.5-Coder series suggests a strong capability in code-related tasks and general instruction adherence.
Loading preview...
Model Overview
The snieper121/godot-qwen-7b is a 7.6 billion parameter instruction-tuned language model, developed by snieper121. It is fine-tuned from the unsloth/qwen2.5-coder-7b-instruct-bnb-4bit base model, leveraging the Unsloth library and Huggingface's TRL for efficient training.
Key Characteristics
- Base Model: Fine-tuned from Qwen2.5-Coder-7B-Instruct, indicating strong capabilities in code understanding and generation, as well as general instruction following.
- Efficient Training: Utilizes Unsloth, which enabled the model to be trained approximately 2x faster than conventional methods.
- Parameter Count: Features 7.6 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining conversational coherence over extended interactions.
Use Cases
This model is particularly well-suited for applications that benefit from:
- Code-related tasks: Given its
Coderbase, it's expected to perform well in code generation, completion, and explanation. - Instruction following: Designed to accurately respond to and execute given instructions.
- Applications requiring efficient deployment: The optimized training process suggests a model that can be integrated into various systems with relative ease, especially where Qwen2.5 capabilities are desired.