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Tess M V1.2 by migtissera

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  Autotrain compatible   Endpoints compatible   License:other   Llama   Pytorch   Region:us   Sharded

Rank the Tess M V1.2 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  
Tess M V1.2 (migtissera/Tess-M-v1.2)

Quantized Models of the Tess M V1.2

Model
Likes
Downloads
VRAM
Tess M V1.2 GGUF3214 GB
Tess M V1.2 GPTQ1218 GB

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HermesBagel 34B V0.175.154K / 68.9 GB17501
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MetaMath Bagel DPO 34B74.8195K / 69.2 GB225411
Nontoxic Bagel 34B V0.274.69195K / 68.7 GB226634
Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-M-v1.2.

Tess M V1.2 Parameters and Internals

LLM NameTess M V1.2
RepositoryOpen on ๐Ÿค— 
Model Size34b
Required VRAM69.2 GB
Updated2024-02-28
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
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003