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Deepseek Math 7B Rl 4bit by sudhanshu746

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Deepseek Math 7B Rl 4bit is an open-source language model by sudhanshu746. Features: 7b LLM, VRAM: 4.8GB, Context: 4K, License: other, Quantized, HF Score: 49.5, LLM Explorer Score: 0.17, Arc: 55.5, HellaSwag: 72.5, MMLU: 56.8, TruthfulQA: 40.4, WinoGrande: 66.8, GSM8K: 5.4.

  Arxiv:2402.03300   4-bit   4bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/sudhanshu746/deepseek-math-7b-rl-4bit 

Deepseek Math 7B Rl 4bit Benchmarks

ARC: 55.46 vs 96.7 (so35)-42.6%
HellaSwag: 72.45 vs 95.3 (gpt4)-24%
MMLU: 56.81 vs 88.3 (so35)-35.7%
TruthfulQA: 40.37 vs 59 (gpt4)-31.6%
WinoGrande: 66.77 vs 87.5 (gpt4)-23.7%
GSM8K: 5.38 vs 96.4 (so35)-94.4%
LLME Score: 0.1684
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 Rl 4bit (sudhanshu746/deepseek-math-7b-rl-4bit)
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Deepseek Math 7B Rl 4bit Parameters and Internals

Model Type 
math solving, instruction following
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Quantization made by Sudhanshu Sharma using bnb 4bits.
Input Output 
Input Format:
Chain-of-thought prompt
Accepted Modalities:
text
Output Format:
Text with step-by-step reasoning
Performance Tips:
Avoid using system prompts with this model version.
LLM NameDeepseek Math 7B Rl 4bit
Repository 🤗https://huggingface.co/sudhanshu746/deepseek-math-7b-rl-4bit 
Base Model(s)  Deepseek Math 7B Rl   deepseek-ai/deepseek-math-7b-rl
Model Size7b
Required VRAM4.8 GB
Updated2025-09-23
Maintainersudhanshu746
Model Typellama
Model Files  4.8 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.41.1
Vocabulary Size102400
Torch Data Typefloat16

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Rank the Deepseek Math 7B Rl 4bit 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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