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Yi 34Bx2 MoE 60B GGUF by second-state

 »  All LLMs  »  second-state  »  Yi 34Bx2 MoE 60B GGUF   URL Share it on

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  Autotrain compatible Base model:cloudyu/yi-34bx2-mo... Base model:quantized:cloudyu/y...   Conversational   Endpoints compatible   Fp16   Gguf   Mixtral   Moe   Q2   Q8 0   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF 

Yi 34Bx2 MoE 60B GGUF Benchmarks

LLME Score: 0.13324
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34Bx2 MoE 60B GGUF (second-state/Yi-34Bx2-MoE-60B-GGUF)
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Yi 34Bx2 MoE 60B GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
Quantized by Second State Inc. Quantization methods include Q2_K, Q3_K_L, Q3_K_M, Q3_K_S, Q4_0, Q4_K_M, Q4_K_S, Q5_0, Q5_K_M, Q5_K_S, Q6_K, Q8_0, and f16.
LLM NameYi 34Bx2 MoE 60B GGUF
Repository 🤗https://huggingface.co/second-state/Yi-34Bx2-MoE-60B-GGUF 
Model NameYi 34Bx2 MoE 60B
Model Creatorcloudyu
Base Model(s)  Yi 34Bx2 MoE 60B   cloudyu/Yi-34Bx2-MoE-60B
Model Size60b
Required VRAM0.3 GB
Updated2025-09-23
Maintainersecond-state
Model Typemistral
Model Files  22.4 GB   31.8 GB   29.2 GB   26.3 GB   34.3 GB   36.7 GB   34.6 GB   41.9 GB   43.1 GB   41.9 GB   49.9 GB   32.2 GB: 1-of-3   32.1 GB: 2-of-3   0.3 GB: 3-of-3   31.9 GB: 1-of-8   31.7 GB: 2-of-8   31.7 GB: 3-of-8   31.7 GB: 4-of-8   31.7 GB: 5-of-8   31.7 GB: 6-of-8   31.7 GB: 7-of-8   21.1 GB: 8-of-8
GGUF QuantizationYes
Quantization Typefp16|gguf|q2|q8_0|q4_k|q5_k
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Vocabulary Size64000
Torch Data Typebfloat16

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Release v20241124
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