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Franziska Mixtral V1 by Sao10K

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Franziska Mixtral V1 is an open-source language model by Sao10K. Features: 46.7b LLM, VRAM: 93.5GB, Context: 32K, License: cc-by-nc-4.0, MoE, LLM Explorer Score: 0.26, Arc: 71.8, HellaSwag: 87.4, MMLU: 69.8, GSM8K: 60.3.

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

Franziska Mixtral V1 Benchmarks

ARC: 71.76 vs 96.7 (so35)-25.8%
HellaSwag: 87.37 vs 95.3 (gpt4)-8.3%
MMLU: 69.78 vs 88.3 (so35)-21%
GSM8K: 60.27 vs 96.4 (so35)-37.5%
LLME Score: 0.25767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Franziska Mixtral V1 (Sao10K/Franziska-Mixtral-v1)
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Franziska Mixtral V1 Parameters and Internals

LLM NameFranziska Mixtral V1
Repository 🤗https://huggingface.co/Sao10K/Franziska-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/Franziska-Mixtral-v1.

Rank the Franziska 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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