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19B MATH DPO by cloudyu

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  Autotrain compatible   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%
TruthfulQA: 72.11 vs 59 (gpt4)22.2%
WinoGrande: 82.95 vs 87.5 (gpt4)-5.2%
GSM8K: 63.76 vs 96.4 (so35)-33.9%
LLME Score: 0.15448
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)

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
Updated2025-06-01
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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MixTAO 19B Pass32K / 38.1 GB192
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...oundary Solar Chat 2x10.7B MoE4K / 38 GB1231
SunnyRain 2x10.7B4K / 38.4 GB100
Truthful DPO MoE 19B4K / 38.4 GB201
Note: green Score (e.g. "73.2") means that the model is better than cloudyu/19B_MATH_DPO.

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Release v20241227
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