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BigQwen2.5 125B Instruct by mlabonne

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BigQwen2.5 125B Instruct is an open-source language model by mlabonne. Features: 72b LLM, VRAM: 213.8GB, Context: 32K, License: other, Instruction-Based, Merged, LLM Explorer Score: 0.17.

  Merged Model   Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b-in...   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Spa   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/mlabonne/BigQwen2.5-125B-Instruct 

BigQwen2.5 125B Instruct Benchmarks

LLME Score: 0.16928
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BigQwen2.5 125B Instruct (mlabonne/BigQwen2.5-125B-Instruct)
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BigQwen2.5 125B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
creative writing
Supported Languages 
en (high)
Training Details 
Methodology:
self-merge using MergeKit
Context Length:
131072
Input Output 
Performance Tips:
Use a context length of 32k up to 131072 tokens.
LLM NameBigQwen2.5 125B Instruct
Repository 🤗https://huggingface.co/mlabonne/BigQwen2.5-125B-Instruct 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Merged ModelYes
Model Size72b
Required VRAM213.8 GB
Updated2026-03-17
Maintainermlabonne
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-52   5.0 GB: 2-of-52   5.0 GB: 3-of-52   4.6 GB: 4-of-52   5.0 GB: 5-of-52   4.9 GB: 6-of-52   4.7 GB: 7-of-52   5.0 GB: 8-of-52   4.6 GB: 9-of-52   5.0 GB: 10-of-52   4.8 GB: 11-of-52   5.0 GB: 12-of-52   4.6 GB: 13-of-52   5.0 GB: 14-of-52   5.0 GB: 15-of-52   4.6 GB: 16-of-52   4.8 GB: 17-of-52   5.0 GB: 18-of-52   5.0 GB: 19-of-52   4.6 GB: 20-of-52   5.0 GB: 21-of-52   4.9 GB: 22-of-52   4.7 GB: 23-of-52   5.0 GB: 24-of-52   4.8 GB: 25-of-52   4.9 GB: 26-of-52   4.7 GB: 27-of-52   5.0 GB: 28-of-52   4.6 GB: 29-of-52   5.0 GB: 30-of-52   5.0 GB: 31-of-52   4.6 GB: 32-of-52   4.8 GB: 33-of-52   5.0 GB: 34-of-52   5.0 GB: 35-of-52   4.6 GB: 36-of-52   5.0 GB: 37-of-52   4.9 GB: 38-of-52   4.7 GB: 39-of-52   4.8 GB: 40-of-52   5.0 GB: 41-of-52   4.9 GB: 42-of-52   4.7 GB: 43-of-52   5.0 GB: 44-of-52
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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... BI Qwen2.5 72B PT BR Instruct128K / 146 GB50
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EVA Qwen2.5 72B V0.0128K / 146 GB2255
Qwen2.5 72B Instruct32K / 145.5 GB322342864
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/BigQwen2.5-125B-Instruct.

Rank the BigQwen2.5 125B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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