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Bagel Hermes 34B Slerp by Weyaxi

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Bagel Hermes 34B Slerp Benchmarks

MMLU Pro: 41.15
GPQA: 11.3
MUSR: 17.01
BBH: 41.96
IFEval: 46.03 vs 88 (so35)-47.7%
ARC: 70.73 vs 96.7 (so35)-26.9%
HellaSwag: 85.68 vs 95.3 (gpt4)-10.1%
MMLU: 77.29 vs 88.3 (so35)-12.5%
TruthfulQA: 67.09 vs 59 (gpt4)13.7%
WinoGrande: 84.37 vs 87.5 (gpt4)-3.6%
GSM8K: 66.26 vs 96.4 (so35)-31.3%
MATH Lvl 5: 4.91
LLME Score: 0.319
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Bagel Hermes 34B Slerp Parameters and Internals

LLM NameBagel Hermes 34B Slerp
Repository 🤗https://huggingface.co/Weyaxi/Bagel-Hermes-34B-Slerp 
Merged ModelYes
Model Size34b
Required VRAM68.9 GB
Updated2024-09-16
MaintainerWeyaxi
Model Typellama
Model Files  9.8 GB: 1-of-8   9.8 GB: 2-of-8   9.8 GB: 3-of-8   9.8 GB: 4-of-8   9.8 GB: 5-of-8   9.8 GB: 6-of-8   9.8 GB: 7-of-8   0.3 GB: 8-of-8
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16
Bagel Hermes 34B Slerp (Weyaxi/Bagel-Hermes-34B-Slerp)

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Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Bagel-Hermes-34B-Slerp.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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