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Spiking-CODER-V2
AmanC007/Spiking-CODER-V2
Spiking-CODER-V2 is a machine learning model from AmanC007. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Spiking-CODER v2 is an improved fine-tuned LLM for SNN programming, trained on a hybrid dataset that emphasizes human-written code.
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At a glance
- Model type
- llama
- Access
- Public
- Created
- Aug 26, 2025
- Updated
- Aug 26, 2025
- SHA
- 453ee58d
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Model card
From the Hugging Face model README
Spiking-CODER v2 🧠⚡
Spiking-CODER v2 is an improved fine-tuned LLM for SNN programming, trained on a hybrid dataset that emphasizes human-written code.
📊 Training Data
- Hybrid-v2 Dataset:
- 40K raw SNN code samples from GitHub.
- Dataset heavily features Brian2 code, with additional coverage of snnTorch and Norse.
- Prompts: Synthetic, generated by Mistral-Large.
- Outputs: Always human-written SNN code.
🎯 Key Features
- More realistic training distribution by keeping outputs strictly human-authored.
- Training objective focused on minimizing runtime errors and improving functional pass rates.
- Better alignment with runnable examples across SNN Frameworks (Brian2, snnTorch, Norse, etc.).
- Higher composite evaluation score and Functional Pass rates on SNNBench compared to v1.
- Type
- llama
- Languages
- en
- Created
- Aug 26, 2025
- Updated
- Aug 26, 2025