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Notux 8x7b V1 by argilla

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Notux 8x7b V1 Benchmarks

MMLU Pro: 29.56
GPQA: 7.83
MUSR: 10.53
BBH: 34.76
IFEval: 54.22 vs 88 (so35)-38.4%
ARC: 70.65 vs 96.7 (so35)-26.9%
HellaSwag: 87.72 vs 95.3 (gpt4)-8%
MMLU: 71.39 vs 88.3 (so35)-19.2%
TruthfulQA: 66.21 vs 59 (gpt4)12.2%
WinoGrande: 80.74 vs 87.5 (gpt4)-7.7%
GSM8K: 61.11 vs 96.4 (so35)-36.6%
MATH Lvl 5: 8.46
LLME Score: 0.28725
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Notux 8x7b V1 Parameters and Internals

LLM NameNotux 8x7b V1
Repository 🤗https://huggingface.co/argilla/notux-8x7b-v1 
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Model Size46.7b
Required VRAM93.6 GB
Updated2024-09-28
Maintainerargilla
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   0.0 GB
Supported Languagesen de es fr it
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Notux 8x7b V1 (argilla/notux-8x7b-v1)

Quantized Models of the Notux 8x7b V1

Model
Likes
Downloads
VRAM
Notux 8x7b V1 GGUF546515 GB
Notux 8x7b V1 GGUF011417 GB
Notux 8x7b V1 AWQ3924 GB
Notux 8x7b V1 GPTQ21123 GB

Best Alternatives to Notux 8x7b V1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB6512363978
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB5425021
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB43161201
Merge Mixtral Prometheus 8x7B32K / 91.9 GB82
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 argilla/notux-8x7b-v1.

Rank the Notux 8x7b 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 v2024072803
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