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TeTO MS 8x7b by InferenceIllusionist

 »  All LLMs  »  InferenceIllusionist  »  TeTO MS 8x7b   URL Share it on

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  Merged Model   Arxiv:2403.19522   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

TeTO MS 8x7b Benchmarks

LLME Score: 0.21193
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

TeTO MS 8x7b Parameters and Internals

Model Type 
conversational, mixtral, merge
Additional Notes 
This is a merged model combining Tess-2.0, Typhon, and OpenGPT models using Model Stock method.
Training Details 
Methodology:
Layer-wise weight averaging technique using Model Stock method.
Model Architecture:
Mixtral architecture
LLM NameTeTO MS 8x7b
Repository 🤗https://huggingface.co/InferenceIllusionist/TeTO-MS-8x7b 
Merged ModelYes
Model Size46.7b
Required VRAM93.7 GB
Updated2024-11-22
MaintainerInferenceIllusionist
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-19   5.0 GB: 2-of-19   4.9 GB: 3-of-19   5.0 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
TeTO MS 8x7b (InferenceIllusionist/TeTO-MS-8x7b)

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Note: green Score (e.g. "73.2") means that the model is better than InferenceIllusionist/TeTO-MS-8x7b.

Rank the TeTO MS 8x7b 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 v20241110
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