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gpt-oss-mini-sft
ZombitX64/gpt-oss-mini-sft
gpt-oss-mini-sft is a machine learning model from ZombitX64. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is a mini version of the GPT-OSS model trained on a Thai chatbot conversation dataset.
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At a glance
- Access
- Public
- Created
- Aug 25, 2025
- Updated
- Aug 25, 2025
- SHA
- f45aa134
Model card
From the Hugging Face model README
GPT-OSS mini (RoPE + GQA + MoE + SwiGLU)
This is a mini version of the GPT-OSS model trained on a Thai chatbot conversation dataset.
Model Details
- Architecture: GPT-OSS mini with RoPE, GQA, MoE, and SwiGLU
- Vocab Size: 48000
- Hidden Size: 512
- Number of Layers: 6
- Number of Attention Heads: 8
- Number of Key-Value Heads: 2
- Intermediate Size: 1536
- Number of Experts (MoE): 8
- Top-k (MoE): 2
- Max Position Embeddings: 8192
Training Details
- Dataset: ZombitX64/ThaiChatbotConversation (or fallback mini-dataset)
- Training Epochs: 3
- Learning Rate: 3e-4
- Optimizer: AdamW
- Gradient Accumulation Steps: 8
- Batch Size: 2 per device
- Gradient Checkpointing: Enabled
- Mixed Precision: FP32
Usage
- Created
- Aug 25, 2025
- Updated
- Aug 25, 2025