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Eukaryote 8x7B Bf16 by Kquant03

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  Arxiv:2101.03961   Autotrain compatible   En   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Eukaryote 8x7B Bf16 Benchmarks

ARC: 69.45 vs 96.7 (so35)-28.2%
HellaSwag: 87.29 vs 95.3 (gpt4)-8.4%
MMLU: 65.15 vs 88.3 (so35)-26.2%
TruthfulQA: 63.17 vs 59 (gpt4)7.1%
WinoGrande: 82.4 vs 87.5 (gpt4)-5.8%
GSM8K: 71.95 vs 96.4 (so35)-25.4%
LLME Score: 0.20916
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Eukaryote 8x7B Bf16 Parameters and Internals

LLM NameEukaryote 8x7B Bf16
Repository 🤗https://huggingface.co/Kquant03/Eukaryote-8x7B-bf16 
Model Size46.7b
Required VRAM93.5 GB
Updated2024-09-28
MaintainerKquant03
Model Typemixtral
Model Files  9.9 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   10.0 GB: 6-of-10   10.0 GB: 7-of-10   10.0 GB: 8-of-10   10.0 GB: 9-of-10   3.6 GB: 10-of-10
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16
Eukaryote 8x7B Bf16 (Kquant03/Eukaryote-8x7B-bf16)

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Note: green Score (e.g. "73.2") means that the model is better than Kquant03/Eukaryote-8x7B-bf16.

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Release v2024072803
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