yueqis/non_web-qwen-coder-32b-3epochs-30k-5e-5
The yueqis/non_web-qwen-coder-32b-3epochs-30k-5e-5 model is a 32.8 billion parameter language model, fine-tuned from Qwen/Qwen2.5-Coder-32B-Instruct. It is specifically adapted for code generation and understanding tasks, leveraging its base model's capabilities. This model was fine-tuned on the 'non_web' dataset, suggesting a specialization for non-web-related code or data. Its primary strength lies in its enhanced performance for coding tasks within its specialized domain.
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Model Overview
The yueqis/non_web-qwen-coder-32b-3epochs-30k-5e-5 is a 32.8 billion parameter language model, fine-tuned from the robust Qwen/Qwen2.5-Coder-32B-Instruct base model. This iteration has undergone specific fine-tuning on the non_web dataset, indicating a specialized focus beyond general web-related content.
Key Characteristics
- Base Model: Qwen2.5-Coder-32B-Instruct, known for its coding capabilities.
- Parameter Count: 32.8 billion parameters, offering significant capacity for complex tasks.
- Context Length: Supports a substantial context window of 32768 tokens.
- Specialized Fine-tuning: Trained for 3 epochs with a learning rate of 5e-05 and a total batch size of 512, specifically on the
non_webdataset.
Intended Use Cases
This model is particularly suited for applications requiring advanced code generation, comprehension, and analysis, especially within domains that align with its non_web fine-tuning data. Developers looking for a powerful coding assistant with a focus on non-web specific programming challenges may find this model beneficial.