Metamath Llemma 34B by Wanfq

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Metamath Llemma 34B is an open-source language model by Wanfq. Features: 34b LLM, VRAM: 67.5GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

  4-bit   Bitsandbytes   Dataset:meta-math/metamathqa   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Metamath Llemma 34B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Metamath Llemma 34B (Wanfq/metamath-llemma-34b)
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Metamath Llemma 34B Parameters and Internals

Model Type 
Q-Lora fine-tuned
Additional Notes 
Model card adapted from MetaMath-70B-V1.0
Training Details 
Data Sources:
MetaMathQA
Methodology:
Q-Lora fine-tuning
Input Output 
Input Format:
JSON format with 'instruction' key for prompts
Accepted Modalities:
text
Output Format:
follows the response template with step-by-step reasoning
LLM NameMetamath Llemma 34B
Repository ๐Ÿค—https://huggingface.co/Wanfq/metamath-llemma-34b 
Model Size34b
Required VRAM67.5 GB
Updated2025-12-29
MaintainerWanfq
Model Typellama
Model Files  9.8 GB: 1-of-7   9.7 GB: 2-of-7   9.7 GB: 3-of-7   9.7 GB: 4-of-7   9.7 GB: 5-of-7   9.7 GB: 6-of-7   9.2 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Wanfq/metamath-llemma-34b.

Rank the Metamath Llemma 34B 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 v20260328a