LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Tess 2.0 Llama 3 70B by migtissera

 »  All LLMs  »  migtissera  »  Tess 2.0 Llama 3 70B   URL Share it on

  3506   
  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/migtissera/Tess-2.0-Llama-3-70B 

Tess 2.0 Llama 3 70B Benchmarks

ARC: 70.31 vs 96.7 (so35)-27.3%
HellaSwag: 88.46 vs 95.3 (gpt4)-7.2%
MMLU: 79.75 vs 88.3 (so35)-9.7%
TruthfulQA: 54.74 vs 59 (gpt4)-7.2%
WinoGrande: 85.71 vs 87.5 (gpt4)-2%
GSM8K: 74.6 vs 96.4 (so35)-22.6%
LLME Score: 0.2201
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 Llama 3 70B (migtissera/Tess-2.0-Llama-3-70B)

Tess 2.0 Llama 3 70B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
general purpose
Limitations:
can occasionally produce inaccurate or misleading results, possibility of generating inappropriate, biased, or offensive content
Considerations:
Exercise caution and cross-check information. This is an uncensored model.
Additional Notes 
Compute for the model was sponsored by KindoAI.
Training Details 
Data Volume:
~100K high-quality samples
Methodology:
LIMA (Less-Is-More) principles, trained for 2-epochs with low learning rate
Input Output 
Input Format:
Llama-3 prompt format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Provide detailed instructions for better responses.
LLM NameTess 2.0 Llama 3 70B
Repository 🤗https://huggingface.co/migtissera/Tess-2.0-Llama-3-70B 
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

Best Alternatives to Tess 2.0 Llama 3 70B

Best Alternatives
Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB40355
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB25245
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB199121
Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB23323
...a 3 70B Instruct Gradient 262K256K / 141.9 GB18655
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB3212
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB653
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB120
Yi 70B 200K RPMerge Franken195K / 142.4 GB101
Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-2.0-Llama-3-70B.

Rank the Tess 2.0 Llama 3 70B 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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer