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Deepseek Math 7B Base by deepseek-ai

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  14635   
  Arxiv:2402.03300   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/deepseek-math-7b-base 

Deepseek Math 7B Base Benchmarks

MMLU Pro: 19.25
GPQA: 1.12
MUSR: 4.2
BBH: 16.87
IFEval: 27.56 vs 88 (so35)-68.7%
ARC: 52.22 vs 96.7 (so35)-46%
HellaSwag: 69.49 vs 95.3 (gpt4)-27.1%
MMLU: 57.25 vs 88.3 (so35)-35.2%
TruthfulQA: 40.71 vs 59 (gpt4)-31%
WinoGrande: 66.77 vs 87.5 (gpt4)-23.7%
GSM8K: 59.21 vs 96.4 (so35)-38.6%
MATH Lvl 5: 1.89
LLME Score: 0.27097
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Math 7B Base (deepseek-ai/deepseek-math-7b-base)

Deepseek Math 7B Base Parameters and Internals

Model Type 
text generation, multimodal
LLM NameDeepseek Math 7B Base
Repository 🤗https://huggingface.co/deepseek-ai/deepseek-math-7b-base 
Model Size7b
Required VRAM13.9 GB
Updated2025-03-14
Maintainerdeepseek-ai
Model Typellama
Model Files  10.0 GB: 1-of-2   3.9 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/deepseek-math-7b-base.

Rank the Deepseek Math 7B Base 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  
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Release v20241227
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