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Notux 8x7b V1 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:argilla/notux-8x7b-...   Conversational Dataset:argilla/ultrafeedback-...   De   Dpo   En   Es   Fr   It   License:apache-2.0   Mixtral   Moe   Preference   Quantized   Region:us   Rlaif   Safetensors   Sharded   Tensorflow   Ultrafeedback

Notux 8x7b V1 AWQ Benchmarks

HF Avg Score: 64  vs  86.1  (GPT-4) -25.7%
ARC: 62.2-35.4%
HellaSwag: 73.7-22.7%
MMLU: 62.8-27.4%
TruthfulQA: 63.67.8%
WinoGrande: 79.1-9.6%
GSM8K: 44-52.2%
nn.n% — How the model compares to the GPT-4.

Rank the Notux 8x7b V1 AWQ 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  
Notux 8x7b V1 AWQ (TheBloke/notux-8x7b-v1-AWQ)

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Mixtral 8x7B Instruct V0.1 AWQ63.732K / 24.7 GB102554
Bagel DPO 8x7b V0.2 AWQ63.632K / 24.7 GB12
...Mixtral 8x7B V0.1 Dolly15K AWQ63.532K / 24.7 GB61
... Hermes 2 Mixtral 8x7B SFT AWQ63.232K / 24.7 GB482
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/notux-8x7b-v1-AWQ.

Notux 8x7b V1 AWQ Parameters and Internals

LLM NameNotux 8x7b V1 AWQ
RepositoryOpen on 🤗 
Model NameNotux 8X7B v1
Model CreatorArgilla
Base Model(s)  Notux 8x7b V1   argilla/notux-8x7b-v1
Model Size6.5b
Required VRAM24.7 GB
Updated2024-07-01
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen de es fr it
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Release v2024042801
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