4-bit 4bit Autotrain compatible Bitsandbytes Codegen Conversational Endpoints compatible Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow Yi
Model Card on HF 🤗: https://huggingface.co/cloudyu/60B-MoE-Coder-v2
60B MoE Coder V2 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)
60B MoE Coder V2 Parameters and Internals
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| Additional Notes |
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| LLM Name | 60B MoE Coder V2 |
| Repository 🤗 | https://huggingface.co/cloudyu/60B-MoE-Coder-v2 |
| Model Size | 31.8b |
| Required VRAM | 35.6 GB |
| Updated | 2025-09-10 |
| Maintainer | cloudyu |
| Model Type | mixtral |
| Model Files | |
| Quantization Type | 4bit |
| Generates Code | Yes |
| Model Architecture | MixtralForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Rank the 60B MoE Coder V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124