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BigQwen2.5 Echo 47B Instruct by mlabonne

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BigQwen2.5 Echo 47B Instruct is an open-source language model by mlabonne. Features: 32b LLM, VRAM: 95.3GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.26.

  Merged Model   Ara   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Model-index   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/mlabonne/BigQwen2.5-Echo-47B-Instruct 

BigQwen2.5 Echo 47B Instruct Benchmarks

MMLU Pro: 41.49
GPQA: 8.61
MUSR: 10.19
BBH: 44.52
IFEval: 73.57 vs 88 (so35)-16.4%
MATH Lvl 5: 43.81
LLME Score: 0.26329
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BigQwen2.5 Echo 47B Instruct (mlabonne/BigQwen2.5-Echo-47B-Instruct)
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BigQwen2.5 Echo 47B Instruct Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (English)
LLM NameBigQwen2.5 Echo 47B Instruct
Repository 🤗https://huggingface.co/mlabonne/BigQwen2.5-Echo-47B-Instruct 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Merged ModelYes
Model Size32b
Required VRAM95.3 GB
Updated2025-09-23
Maintainermlabonne
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-20   5.0 GB: 2-of-20   4.9 GB: 3-of-20   4.9 GB: 4-of-20   4.8 GB: 5-of-20   4.9 GB: 6-of-20   5.0 GB: 7-of-20   4.9 GB: 8-of-20   4.9 GB: 9-of-20   4.8 GB: 10-of-20   5.0 GB: 11-of-20   4.9 GB: 12-of-20   4.8 GB: 13-of-20   5.0 GB: 14-of-20   4.9 GB: 15-of-20   4.9 GB: 16-of-20   4.9 GB: 17-of-20   4.9 GB: 18-of-20   4.8 GB: 19-of-20   2.1 GB: 20-of-20
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/BigQwen2.5-Echo-47B-Instruct.

Rank the BigQwen2.5 Echo 47B Instruct 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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