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Tess 2.0 Mixtral 8x22B by migtissera

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  Merged Model   Autotrain compatible   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/migtissera/Tess-2.0-Mixtral-8x22B 

Tess 2.0 Mixtral 8x22B Benchmarks

LLME Score: 0.15126
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 2.0 Mixtral 8x22B (migtissera/Tess-2.0-Mixtral-8x22B)
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Tess 2.0 Mixtral 8x22B Parameters and Internals

Model Type 
General Purpose Large Language Model
Additional Notes 
The model is uncensored and aims to follow instructions effectively. Caution is advised as it may produce inappropriate or biased content.
Training Details 
Data Sources:
Tess-2.0 dataset
Data Volume:
~25K high-quality code and general training samples
Methodology:
LIMA (Less-Is-More) principles
Training Time:
1-epoch fine-tuning
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
Accepted Modalities:
text
LLM NameTess 2.0 Mixtral 8x22B
Repository 🤗https://huggingface.co/migtissera/Tess-2.0-Mixtral-8x22B 
Merged ModelYes
Model Size140.6b
Required VRAM216.8 GB
Updated2025-09-14
Maintainermigtissera
Model Typemixtral
Model Files  5.0 GB: 1-of-59   4.8 GB: 2-of-59   4.8 GB: 3-of-59   4.8 GB: 4-of-59   4.8 GB: 5-of-59   4.8 GB: 6-of-59   4.8 GB: 7-of-59   4.8 GB: 8-of-59   4.8 GB: 9-of-59   4.8 GB: 10-of-59   4.8 GB: 11-of-59   4.8 GB: 12-of-59   4.8 GB: 13-of-59   4.8 GB: 14-of-59   4.8 GB: 15-of-59   4.8 GB: 16-of-59   4.8 GB: 17-of-59   4.8 GB: 18-of-59   4.8 GB: 19-of-59   4.8 GB: 20-of-59   4.8 GB: 21-of-59   4.8 GB: 22-of-59   4.8 GB: 23-of-59   4.9 GB: 24-of-59   5.0 GB: 25-of-59   5.0 GB: 26-of-59   4.9 GB: 27-of-59   4.8 GB: 28-of-59   4.8 GB: 29-of-59   4.8 GB: 30-of-59   4.8 GB: 31-of-59   4.8 GB: 32-of-59   4.8 GB: 33-of-59   4.8 GB: 34-of-59   4.8 GB: 35-of-59   4.8 GB: 36-of-59   4.8 GB: 37-of-59   4.8 GB: 38-of-59   4.8 GB: 39-of-59   4.8 GB: 40-of-59   4.8 GB: 41-of-59   4.8 GB: 42-of-59   4.8 GB: 43-of-59   4.8 GB: 44-of-59   4.8 GB: 45-of-59
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.40.0.dev0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-2.0-Mixtral-8x22B.

Rank the Tess 2.0 Mixtral 8x22B 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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Release v20241124
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