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Skadi Mixtral V1 by Sao10K

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  Autotrain compatible   En   Endpoints compatible   License:cc-by-nc-4.0   Merge   Mixtral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/Skadi-Mixtral-v1 

Skadi Mixtral V1 Benchmarks

ARC: 70.14 vs 96.7 (so35)-27.5%
HellaSwag: 87.65 vs 95.3 (gpt4)-8%
MMLU: 72.19 vs 88.3 (so35)-18.2%
TruthfulQA: 60.43 vs 59 (gpt4)2.4%
WinoGrande: 81.29 vs 87.5 (gpt4)-7.1%
GSM8K: 64.75 vs 96.4 (so35)-32.8%
LLME Score: 0.25823
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Skadi Mixtral V1 (Sao10K/Skadi-Mixtral-v1)

Skadi Mixtral V1 Parameters and Internals

LLM NameSkadi Mixtral V1
Repository 🤗https://huggingface.co/Sao10K/Skadi-Mixtral-v1 
Model Size46.7b
Required VRAM93.5 GB
Updated2024-07-04
MaintainerSao10K
Model Typemixtral
Model Files  10.0 GB: 1-of-10   10.0 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 Version4.39.2
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/Skadi-Mixtral-v1.

Rank the Skadi 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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