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SauerkrautLM Mixtral 8x7B Instruct by VAGOsolutions

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SauerkrautLM Mixtral 8x7B Instruct Benchmarks

MMLU Pro: 29.45
GPQA: 6.38
MUSR: 11.32
BBH: 33.95
IFEval: 56.02 vs 88 (so35)-36.3%
ARC: 70.56 vs 96.7 (so35)-27%
HellaSwag: 87.74 vs 95.3 (gpt4)-7.9%
MMLU: 71.08 vs 88.3 (so35)-19.5%
TruthfulQA: 65.72 vs 59 (gpt4)11.4%
WinoGrande: 81.45 vs 87.5 (gpt4)-6.9%
GSM8K: 59.82 vs 96.4 (so35)-37.9%
MATH Lvl 5: 8.61
LLME Score: 0.3448
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

SauerkrautLM Mixtral 8x7B Instruct Parameters and Internals

LLM NameSauerkrautLM Mixtral 8x7B Instruct
Repository 🤗https://huggingface.co/VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct 
Model Size46.7b
Required VRAM93.6 GB
Updated2024-09-28
MaintainerVAGOsolutions
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 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
Supported Languagesen de fr it es
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
SauerkrautLM Mixtral 8x7B Instruct (VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct)

Quantized Models of the SauerkrautLM Mixtral 8x7B Instruct

Model
Likes
Downloads
VRAM
...tLM Mixtral 8x7B Instruct GGUF926515 GB
...tLM Mixtral 8x7B Instruct GPTQ321723 GB
...utLM Mixtral 8x7B Instruct AWQ213024 GB

Best Alternatives to SauerkrautLM Mixtral 8x7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB6512363978
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB43161201
Merge Mixtral Prometheus 8x7B32K / 91.9 GB82
Notux 8x7b V132K / 93.6 GB16165
BagelMIsteryTour V2 8x7B32K / 93.5 GB6316
Karakuri Lm 8x7b Instruct V0.132K / 93.6 GB57917
XLAM V0.1 R32K / 93.6 GB64648
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB12002
Autotrain Xva0j Mixtral8x7b32K / 93.6 GB580
Firefunction V132K / 93.6 GB228122
Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/SauerkrautLM-Mixtral-8x7B-Instruct.

Rank the SauerkrautLM Mixtral 8x7B Instruct 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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