LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Yi 34Bx2 MoE 60B by cloudyu

 »  All LLMs  »  cloudyu  »  Yi 34Bx2 MoE 60B   URL Share it on

  8155   

Yi 34Bx2 MoE 60B is an open-source language model by cloudyu. Features: 60.8b LLM, VRAM: 121.9GB, Context: 195K, License: apache-2.0, MoE, HF Score: 76.7, LLM Explorer Score: 0.16, Arc: 71.1, HellaSwag: 85.2, MMLU: 77.5, TruthfulQA: 66.2, WinoGrande: 84.9, GSM8K: 75.5.

  Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Yi
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: 0.15769
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)
🌟 Advertise your project 🚀

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
Updated2026-04-10
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 GGUF2820 GB

Best Alternatives to Yi 34Bx2 MoE 60B

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 34Bx2 MoE 60B195K / 121.9 GB8683111
Yi 34Bx2 MoE 60B DPO195K / 121.8 GB82253
Bagel Hermes 2x34B195K / 121.9 GB10516
Yi 34Bx2 MoE 200K195K / 121.9 GB82342
...34Bx2 MoE V0.1 Full Linear DPO195K / 121.8 GB1062
FusionNet 34Bx2 MoE V0.1195K / 121.2 GB598
... Cloudyu Mixtral 34Bx2 MoE 60B195K / 121.8 GB840
FusionNet 34Bx2 MoE32K / 121.2 GB6739
...DPO TomGrc FusionNet 34Bx2 MoE32K / 121.8 GB1144
Nous Hermes 2 MoE 2x34B4K / 121.9 GB7350
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer