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Tess V2.5 Qwen2 72B by migtissera

 »  All LLMs  »  migtissera  »  Tess V2.5 Qwen2 72B   URL Share it on

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/migtissera/Tess-v2.5-Qwen2-72B 

Tess V2.5 Qwen2 72B Benchmarks

LLME Score: 0.17065
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess V2.5 Qwen2 72B (migtissera/Tess-v2.5-Qwen2-72B)
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Tess V2.5 Qwen2 72B Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Areas:
research, commercial applications
Limitations:
Can produce inaccurate or misleading results., Possibility of generating inappropriate, biased, or offensive content.
Additional Notes 
The model uses Tesoro as its assistant identity. It is a state-of-the-art model with significant improvements in reasoning, coding, and mathematics capabilities.
Training Details 
Data Sources:
Tess-v2.5 dataset
Data Volume:
300K samples
Methodology:
Fine-tuning with low learning rates, low number of epochs, high quality and diverse data.
Training Time:
4 days
Hardware Used:
4xA100 VM on Microsoft Azure
Input Output 
Input Format:
ChatML prompt format
Accepted Modalities:
text
Performance Tips:
Add 'No follow-up questions necessary' to system prompt to prevent follow-up questions.
Release Notes 
Version:
v2.5
Notes:
Added feature for follow-up questions. Fixed stop token issues.
Version:
v2.5.2
Notes:
Fixed issue with stop token generation.
LLM NameTess V2.5 Qwen2 72B
Repository 🤗https://huggingface.co/migtissera/Tess-v2.5-Qwen2-72B 
Merged ModelYes
Model Size72b
Required VRAM146 GB
Updated2025-07-25
Maintainermigtissera
Model Typeqwen2
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
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|end_of_text|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Quantized Models of the Tess V2.5 Qwen2 72B

Model
Likes
Downloads
VRAM
Tess V2.5.2 Qwen2 72B AWQ0541 GB

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-v2.5-Qwen2-72B.

Rank the Tess V2.5 Qwen2 72B 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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