All Conversational Dataset:amanpriyanshu/gpt-oss-... Domain-specific Efficient En Expert-pruning Gpt-oss Gpt oss Mixture-of-experts Moe Openai Pruned-model Pytorch Reasoning Region:us Safetensors Sharded Specialized Tensorflow
Model Card on HF 🤗: https://huggingface.co/AmanPriyanshu/gpt-oss-6.6b-specialized-all-pruned-moe-only-8-experts
GPT Oss 6.6B Specialized All Pruned MoE Only 8 Experts Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
GPT Oss 6.6B Specialized All Pruned MoE Only 8 Experts Parameters and Internals
| LLM Name | GPT Oss 6.6B Specialized All Pruned MoE Only 8 Experts |
| Repository 🤗 | https://huggingface.co/AmanPriyanshu/gpt-oss-6.6b-specialized-all-pruned-moe-only-8-experts |
| Model Size | 6.6b |
| Required VRAM | 13.1 GB |
| Updated | 2025-08-17 |
| Maintainer | AmanPriyanshu |
| Model Type | gpt_oss |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GptOssForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.55.0 |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 201088 |
Rank the GPT Oss 6.6B Specialized All Pruned MoE Only 8 Experts Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124