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Tess M V1.3 by migtissera

 »  All LLMs  »  migtissera  »  Tess M V1.3   URL Share it on

  2779   
  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Tess M V1.3 Benchmarks

ARC: 62.54-35.1%
HellaSwag: 83.95-11.9%
MMLU: 75.36-12.9%
TruthfulQA: 56.03-5%
WinoGrande: 81.14-7.3%
GSM8K: 59.21-35.6%
nn.n% — How the model compares to the GPT-4.

Tess M V1.3 Parameters and Internals

LLM NameTess M V1.3
RepositoryOpen on 🤗 
Model Size34b
Required VRAM69.2 GB
Updated2024-07-27
Maintainermigtissera
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typefloat16
Tess M V1.3 (migtissera/Tess-M-v1.3)

Quantized Models of the Tess M V1.3

Model
Likes
Downloads
VRAM
Tess M V1.3 GGUF1210814 GB
Tess M V1.3 AWQ12819 GB
Tess M V1.3 GPTQ2818 GB

Best Alternatives to Tess M V1.3

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Yi 34B 200K0.3195K / 68.9 GB5247313
Smaug 34B V0.10.3195K / 69.2 GB318558
Yi 34B 200K AEZAKMI V20.3195K / 69.2 GB94812
Smaug 34B V0.1 ExPO0.3195K / 69.2 GB20850
Faro Yi 34B0.3195K / 69.2 GB27486
Bagel DPO 34B V0.50.3195K / 68.7 GB186117
Nous Capybara 34B0.3195K / 68.9 GB6259242
Yi 34B 200K HESOYAM 09050.3195K / 69.2 GB2400
Bagel DPO 34B V0.20.3195K / 69.2 GB276997
34B Beta0.3195K / 69.2 GB122159
Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-M-v1.3.

Rank the Tess M V1.3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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