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Sensualize Mixtral Bf16 by Sao10K

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Sensualize Mixtral Bf16 is an open-source language model by Sao10K. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: cc-by-nc-4.0, MoE, HF Score: 69.4, LLM Explorer Score: 0.26, Arc: 70.1, HellaSwag: 86.6, MMLU: 70.9, TruthfulQA: 54.2, WinoGrande: 82.4, GSM8K: 52.

  Autotrain compatible Dataset:nobodyexistsontheinter...   Endpoints compatible   License:cc-by-nc-4.0   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16 

Sensualize Mixtral Bf16 Benchmarks

ARC: 70.14 vs 96.7 (so35)-27.5%
HellaSwag: 86.6 vs 95.3 (gpt4)-9.1%
MMLU: 70.89 vs 88.3 (so35)-19.7%
TruthfulQA: 54.17 vs 59 (gpt4)-8.2%
WinoGrande: 82.4 vs 87.5 (gpt4)-5.8%
GSM8K: 52.01 vs 96.4 (so35)-46%
LLME Score: 0.26141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sensualize Mixtral Bf16 (Sao10K/Sensualize-Mixtral-bf16)
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Sensualize Mixtral Bf16 Parameters and Internals

LLM NameSensualize Mixtral Bf16
Repository 🤗https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16 
Model Size46.7b
Required VRAM93.6 GB
Updated2024-07-04
MaintainerSao10K
Model Typemixtral
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
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Sensualize Mixtral Bf16

Model
Likes
Downloads
VRAM
Sensualize Mixtral GGUF2022915 GB
Sensualize Mixtral GPTQ5523 GB
Sensualize Mixtral AWQ5424 GB

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Franziska Mixtral V132K / 93.5 GB00
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GritLM 8x7B KTO32K / 93.6 GB81423
Smaug Mixtral V0.132K / 187.7 GB854812
XLAM 8x7b R32K / 93.6 GB5094415
NatureLM 8x7B32K / 0.3 GB6619
Note: green Score (e.g. "73.2") means that the model is better than Sao10K/Sensualize-Mixtral-bf16.

Rank the Sensualize Mixtral Bf16 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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