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Venus DPO 50 by cloudyu

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  Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cloudyu/Venus_DPO_50 

Venus DPO 50 Benchmarks

ARC: 70.73 vs 96.7 (so35)-26.9%
HellaSwag: 88.47 vs 95.3 (gpt4)-7.2%
MMLU: 66.3 vs 88.3 (so35)-24.9%
TruthfulQA: 72.63 vs 59 (gpt4)23.1%
WinoGrande: 83.43 vs 87.5 (gpt4)-4.7%
GSM8K: 63.61 vs 96.4 (so35)-34%
LLME Score: 0.19608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Venus DPO 50 (cloudyu/Venus_DPO_50)

Venus DPO 50 Parameters and Internals

Model Type 
moe
Additional Notes 
DPO Trainer details can be found at https://huggingface.co/docs/trl/main/en/dpo_trainer.
LLM NameVenus DPO 50
Repository 🤗https://huggingface.co/cloudyu/Venus_DPO_50 
Model Size19.2b
Required VRAM38.4 GB
Updated2024-12-14
Maintainercloudyu
Model Typemixtral
Model Files  5.0 GB: 1-of-8   4.9 GB: 2-of-8   5.0 GB: 3-of-8   5.0 GB: 4-of-8   4.9 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   3.6 GB: 8-of-8
Model ArchitectureMixtralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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SOLAR Math 2x10.7B V0.24K / 38.4 GB12153
Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Venus_DPO_50.

Rank the Venus DPO 50 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 v20241124
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