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Mixtral 34Bx2 MoE 60B by cloudyu

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  Autotrain compatible   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/cloudyu/Mixtral_34Bx2_MoE_60B 

Mixtral 34Bx2 MoE 60B Benchmarks

MMLU Pro: 41.85
GPQA: 11.74
MUSR: 17.78
BBH: 41.21
IFEval: 45.38 vs 88 (so35)-48.4%
ARC: 71.25 vs 96.7 (so35)-26.3%
HellaSwag: 85.36 vs 95.3 (gpt4)-10.4%
MMLU: 77.28 vs 88.3 (so35)-12.5%
TruthfulQA: 66.61 vs 59 (gpt4)12.9%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 74.6 vs 96.4 (so35)-22.6%
MATH Lvl 5: 7.63
LLME Score: 0.29212
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 34Bx2 MoE 60B (cloudyu/Mixtral_34Bx2_MoE_60B)

Mixtral 34Bx2 MoE 60B Parameters and Internals

LLM NameMixtral 34Bx2 MoE 60B
Repository 🤗https://huggingface.co/cloudyu/Mixtral_34Bx2_MoE_60B 
Model Size60.8b
Required VRAM121.9 GB
Updated2025-01-15
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 Mixtral 34Bx2 MoE 60B

Model
Likes
Downloads
VRAM
Mixtral 34Bx2 MoE 60B GGUF3445820 GB
Mixtral 34Bx2 MoE 60B GPTQ71431 GB
Mixtral 34Bx2 MoE 60B AWQ41532 GB

Best Alternatives to Mixtral 34Bx2 MoE 60B

Best Alternatives
Context / RAM
Downloads
Likes
Yi 34Bx2 MoE 60B DPO195K / 121.8 GB32593
Bagel Hermes 2x34B195K / 121.9 GB29116
Yi 34Bx2 MoE 200K195K / 121.9 GB32532
Yi 34Bx2 MoE 60B195K / 121.9 GB324565
...34Bx2 MoE V0.1 Full Linear DPO195K / 121.8 GB682
FusionNet 34Bx2 MoE V0.1195K / 121.2 GB708
... Cloudyu Mixtral 34Bx2 MoE 60B195K / 121.8 GB670
FusionNet 34Bx2 MoE32K / 121.2 GB7118
...DPO TomGrc FusionNet 34Bx2 MoE32K / 121.8 GB2364
Nous Hermes 2 MoE 2x34B4K / 121.9 GB7070

Rank the Mixtral 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  
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Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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