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Typhon Mixtral V1 by Sao10K

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  Autotrain compatible Base model:mistralai/mixtral-8...   En   Endpoints compatible   License:cc-by-nc-4.0   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/Typhon-Mixtral-v1 

Typhon Mixtral V1 Benchmarks

ARC: 71.84 vs 96.7 (so35)-25.7%
HellaSwag: 87.47 vs 95.3 (gpt4)-8.2%
MMLU: 71.11 vs 88.3 (so35)-19.5%
TruthfulQA: 68.81 vs 59 (gpt4)16.6%
WinoGrande: 81.77 vs 87.5 (gpt4)-6.5%
GSM8K: 61.87 vs 96.4 (so35)-35.8%
LLME Score: 0.25723
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Typhon Mixtral V1 (Sao10K/Typhon-Mixtral-v1)

Typhon Mixtral V1 Parameters and Internals

LLM NameTyphon Mixtral V1
Repository 🤗https://huggingface.co/Sao10K/Typhon-Mixtral-v1 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Model Size46.7b
Required VRAM93.4 GB
Updated2024-07-04
MaintainerSao10K
Model Typemixtral
Model Files  10.0 GB: 1-of-10   9.9 GB: 2-of-10   10.0 GB: 3-of-10   10.0 GB: 4-of-10   10.0 GB: 5-of-10   9.9 GB: 6-of-10   9.9 GB: 7-of-10   10.0 GB: 8-of-10   9.9 GB: 9-of-10   3.8 GB: 10-of-10
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sao10K/Typhon-Mixtral-v1.

Rank the Typhon Mixtral V1 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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Release v20241227
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