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19B MATH DPO by cloudyu

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19B MATH DPO is an open-source language model by cloudyu. Features: 19.2b LLM, VRAM: 38.4GB, Context: 4K, License: other, MoE, LLM Explorer Score: 0.12, Arc: 71.1, HellaSwag: 88.4, MMLU: 66.3, GSM8K: 63.8.

  Conversational   Dpo   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cloudyu/19B_MATH_DPO 

19B MATH DPO Benchmarks

ARC: 71.08 vs 96.7 (so35)-26.5%
HellaSwag: 88.43 vs 95.3 (gpt4)-7.2%
MMLU: 66.25 vs 88.3 (so35)-25%
GSM8K: 63.76 vs 96.4 (so35)-33.9%
LLME Score: 0.12141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
19B MATH DPO (cloudyu/19B_MATH_DPO)
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19B MATH DPO Parameters and Internals

Model Type 
dpo, moe
Additional Notes 
This model uses DPO (Direct Preference Optimization) and MoE (Mixture of Experts) with 19 billion parameters.
LLM Name19B MATH DPO
Repository 🤗https://huggingface.co/cloudyu/19B_MATH_DPO 
Model Size19.2b
Required VRAM38.4 GB
Updated2026-05-18
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
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cloudyu/19B_MATH_DPO.

Rank the 19B MATH DPO 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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