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MetaMath Bagel DPO 34B GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Autotrain compatible Base model:abacusai/metamath-b... Base model:quantized:abacusai/...   Conversational Dataset:abacusai/metamathfewsh...   Endpoints compatible   Gguf   Has space   Llama   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/MetaMath-Bagel-DPO-34B-GGUF 

MetaMath Bagel DPO 34B GGUF Benchmarks

LLME Score: 0.1639
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MetaMath Bagel DPO 34B GGUF (MaziyarPanahi/MetaMath-Bagel-DPO-34B-GGUF)

MetaMath Bagel DPO 34B GGUF Parameters and Internals

Model Type 
text-generation
LLM NameMetaMath Bagel DPO 34B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/MetaMath-Bagel-DPO-34B-GGUF 
Model NameMetaMath-Bagel-DPO-34B-GGUF
Model Creatorabacusai
Base Model(s)  MetaMath Bagel DPO 34B   abacusai/MetaMath-Bagel-DPO-34B
Model Size34b
Required VRAM12.8 GB
Updated2025-03-12
MaintainerMaziyarPanahi
Model Typemistral
Model Files  12.8 GB   18.1 GB   16.7 GB   15.0 GB   20.7 GB   19.6 GB   24.3 GB   23.7 GB   28.2 GB   36.5 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MetaMath-Bagel-DPO-34B-GGUF.

Rank the MetaMath Bagel DPO 34B GGUF 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 v20241227
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