goofyk/qwen2.5-coder-1c-7b
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The goofyk/qwen2.5-coder-1c-7b is a 7.6 billion parameter Qwen2.5-based causal language model, finetuned by goofyk. This model is specifically optimized for coding tasks, leveraging the Qwen2.5 Coder architecture. It was trained using Unsloth and Huggingface's TRL library, enabling faster finetuning for enhanced code generation capabilities.
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Model Overview
The goofyk/qwen2.5-coder-1c-7b is a 7.6 billion parameter language model developed by goofyk, finetuned from the unsloth/Qwen2.5-Coder-7B-bnb-4bit base model. It is designed to excel in coding-related applications, building upon the robust Qwen2.5 Coder architecture.
Key Characteristics
- Architecture: Based on the Qwen2.5 Coder family, known for its strong performance in code generation.
- Parameter Count: Features 7.6 billion parameters, offering a balance between capability and computational efficiency.
- Finetuning Process: This model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Intended Use Cases
This model is particularly well-suited for developers and researchers focused on:
- Code Generation: Generating code snippets, functions, or entire programs.
- Code Completion: Assisting with auto-completion in integrated development environments (IDEs).
- Code Understanding: Tasks involving analyzing, explaining, or refactoring existing code.
- Rapid Prototyping: Quickly developing code solutions due to its optimized finetuning for coding tasks.