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J.O.S.I.E.3 Beta12 7B Slerp by Isaak-Carter

 »  All LLMs  »  Isaak-Carter  »  J.O.S.I.E.3 Beta12 7B Slerp   URL Share it on

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  Merged Model Argilla/capybarahermes-2.5-mis...   Autotrain compatible Base model:argilla/capybaraher... Base model:weyaxi/einstein-v6-...   Conversational   De   En   Endpoints compatible   Es   Fr   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Weyaxi/einstein-v6-7b   Zh

J.O.S.I.E.3 Beta12 7B Slerp Benchmarks

ARC: 64.59-32.9%
HellaSwag: 83.98-11.9%
MMLU: 63.28-26.8%
TruthfulQA: 58.16-1.4%
WinoGrande: 79.64-9%
GSM8K: 59.67-35.1%
nn.n% — How the model compares to the GPT-4.

J.O.S.I.E.3 Beta12 7B Slerp Parameters and Internals

LLM NameJ.O.S.I.E.3 Beta12 7B Slerp
RepositoryOpen on 🤗 
Base Model(s)  Einstein V6 7B   argilla/CapybaraHermes-2.5-Mistral-7B   Weyaxi/Einstein-v6-7B   argilla/CapybaraHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
MaintainerIsaak-Carter
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen de es fr ja zh
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16
J.O.S.I.E.3 Beta12 7B Slerp (Isaak-Carter/J.O.S.I.E.3-Beta12-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than Isaak-Carter/J.O.S.I.E.3-Beta12-7B-slerp.

Rank the J.O.S.I.E.3 Beta12 7B Slerp Capabilities

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Release v2024072501
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