Tess M V1.3 by migtissera

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/migtissera/Tess-M-v1.3 

Tess M V1.3 Benchmarks

Tess M V1.3 (migtissera/Tess-M-v1.3)

Tess M V1.3 Parameters and Internals

Model Type 
Language Model
Input Output 
Input Format:
SYSTEM: USER: ASSISTANT:
Performance Tips:
Testing the model to your usecase and limiting the context length is recommended.
Release Notes 
Version:
1.3
Notes:
This version is the stable release. The issues present in versions 1.0, 1.1, and 1.2 have been rectified. Model tested on very long context length with slight repetition, but it was minor.
LLM NameTess M V1.3
Repository ๐Ÿค—https://huggingface.co/migtissera/Tess-M-v1.3 
Model Size34b
Required VRAM69.2 GB
Updated2025-02-15
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

Quantized Models of the Tess M V1.3

Model
Likes
Downloads
VRAM
Tess M V1.3 GGUF129214 GB
Tess M V1.3 GPTQ23218 GB
Tess M V1.3 AWQ11819 GB

Best Alternatives to Tess M V1.3

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Context / RAM
Downloads
Likes
Casual Magnum 34B195K / 68.8 GB111
34B Beta195K / 69.2 GB414662
Bagel Hermes 34B Slerp195K / 68.9 GB43111
Bagel 34B V0.2195K / 68.7 GB637940
Smaug 34B V0.1195K / 69.2 GB411860
Yi 34B 200K195K / 68.9 GB5630318
Yi 34B 200K AEZAKMI V2195K / 69.2 GB169512
Smaug 34B V0.1 ExPO195K / 69.2 GB26490
Faro Yi 34B195K / 69.2 GB39816
Mergekit Slerp Anaazls195K / 69.2 GB110
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

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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