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Yi 34Bx2 MoE 60B by cloudyu

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Model Card on HF 🤗: https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B 

Yi 34Bx2 MoE 60B Benchmarks

ARC: 71.08 vs 96.7 (so35)-26.5%
HellaSwag: 85.23 vs 95.3 (gpt4)-10.6%
MMLU: 77.47 vs 88.3 (so35)-12.3%
TruthfulQA: 66.19 vs 59 (gpt4)12.2%
WinoGrande: 84.85 vs 87.5 (gpt4)-3%
GSM8K: 75.51 vs 96.4 (so35)-21.7%
LLME Score: 0.20411
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 (cloudyu/Yi-34Bx2-MoE-60B)

Yi 34Bx2 MoE 60B Parameters and Internals

Model Type 
MoE, Causal LM
Additional Notes 
This model is a variation of the cloudyu/Mixtral_34Bx2_MoE_60B focusing on English and Chinese language capabilities.
Supported Languages 
English (Proficient), Chinese (Proficient)
Input Output 
Input Format:
text input
Accepted Modalities:
text
Output Format:
text output
Performance Tips:
Use GPUs for better performance, with configurations available for both GPU and CPU.
LLM NameYi 34Bx2 MoE 60B
Repository 🤗https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B 
Model Size60.8b
Required VRAM121.9 GB
Updated2025-02-05
Maintainercloudyu
Model Typemixtral
Model Files  9.8 GB: 1-of-13   10.0 GB: 2-of-13   10.0 GB: 3-of-13   10.0 GB: 4-of-13   10.0 GB: 5-of-13   10.0 GB: 6-of-13   10.0 GB: 7-of-13   10.0 GB: 8-of-13   10.0 GB: 9-of-13   10.0 GB: 10-of-13   10.0 GB: 11-of-13   10.0 GB: 12-of-13   2.1 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the Yi 34Bx2 MoE 60B

Model
Likes
Downloads
VRAM
Yi 34Bx2 MoE 60B GGUF23400 GB

Best Alternatives to Yi 34Bx2 MoE 60B

Best Alternatives
Context / RAM
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Mixtral 34Bx2 MoE 60B195K / 121.9 GB4251112
Yi 34Bx2 MoE 60B DPO195K / 121.8 GB42113
Bagel Hermes 2x34B195K / 121.9 GB19516
Yi 34Bx2 MoE 200K195K / 121.9 GB41922
...34Bx2 MoE V0.1 Full Linear DPO195K / 121.8 GB602
FusionNet 34Bx2 MoE V0.1195K / 121.2 GB558
... Cloudyu Mixtral 34Bx2 MoE 60B195K / 121.8 GB540
FusionNet 34Bx2 MoE32K / 121.2 GB12128
...DPO TomGrc FusionNet 34Bx2 MoE32K / 121.8 GB1204
Nous Hermes 2 MoE 2x34B4K / 121.9 GB12280
Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Yi-34Bx2-MoE-60B.

Rank the Yi 34Bx2 MoE 60B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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