Tess 2.0 Llama 3 70B V0.2 by migtissera

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Tess 2.0 Llama 3 70B V0.2 Benchmarks

Tess 2.0 Llama 3 70B V0.2 (migtissera/Tess-2.0-Llama-3-70B-v0.2)

Tess 2.0 Llama 3 70B V0.2 Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
Can produce inaccurate or misleading results, Possibility of generating inappropriate, biased, or offensive content
Considerations:
Exercise caution and cross-check information when necessary
Additional Notes 
Compute for this model was sponsored by KindoAI
Training Details 
Data Sources:
Tess-2.0 dataset, still curating, uncensored dataset included in v0.2
Methodology:
Training followed LIMA (Less-Is-More) principles with ~100K high-quality code and general training samples. Fine-tuned for 2-epochs with a low learning rate.
Input Output 
Input Format:
Llama-3
Accepted Modalities:
text
LLM NameTess 2.0 Llama 3 70B V0.2
Repository ๐Ÿค—https://huggingface.co/migtissera/Tess-2.0-Llama-3-70B-v0.2 
Merged ModelYes
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
Maintainermigtissera
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Tess 2.0 Llama 3 70B V0.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227