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EZO Qwen2.5 72B Instruct by AXCXEPT

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Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b-in...   Chat   Conversational   En   Instruct   Ja   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AXCXEPT/EZO-Qwen2.5-72B-Instruct 

EZO Qwen2.5 72B Instruct Benchmarks

LLME Score: 0.24642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EZO Qwen2.5 72B Instruct (AXCXEPT/EZO-Qwen2.5-72B-Instruct)

EZO Qwen2.5 72B Instruct Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Areas:
global language applications
Supported Languages 
ja (high proficiency), en (supported)
Training Details 
Data Sources:
Japanese Wikipedia, FineWeb
Methodology:
plain instruction tuning
Training Time:
32h
Hardware Used:
A100 x 4
LLM NameEZO Qwen2.5 72B Instruct
Repository 🤗https://huggingface.co/AXCXEPT/EZO-Qwen2.5-72B-Instruct 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Model Size72b
Required VRAM146 GB
Updated2025-02-14
MaintainerAXCXEPT
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Supported Languagesja en
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

Quantized Models of the EZO Qwen2.5 72B Instruct

Model
Likes
Downloads
VRAM
...CoTRAG Qwen2.5 72B Instruct Q491744 GB

Best Alternatives to EZO Qwen2.5 72B Instruct

Best Alternatives
Context / RAM
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EVA Qwen2.5 72B V0.2128K / 146 GB281516
AceInstruct 72B128K / 146 GB8714
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB50
72B Qwen2.5 Kunou V1128K / 146 GB87422
EVA Qwen2.5 72B V0.1128K / 146 GB100415
EVA Qwen2.5 72B V0.0128K / 146 GB1065
Qwen2.5 72B Instruct32K / 145.5 GB223617725
Athene V2 Chat32K / 146 GB5424277
Qwen2 72B Instruct32K / 145.5 GB46969704
Rombos LLM V2.5 Qwen 72B32K / 146.1 GB288435
Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/EZO-Qwen2.5-72B-Instruct.

Rank the EZO Qwen2.5 72B 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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Release v20241227
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