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StrangeMerges 18 7B Dare Ties by Gille

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  Merged Model   Autotrain compatible Base model:teknium/openhermes-...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded Teknium/openhermes-2.5-mistral...   Tensorflow

StrangeMerges 18 7B Dare Ties Benchmarks

ARC: 64.08-33.5%
HellaSwag: 84.37-11.5%
MMLU: 63.65-26.4%
TruthfulQA: 52.17-11.6%
WinoGrande: 77.27-11.7%
GSM8K: 60.8-33.9%
nn.n% — How the model compares to the GPT-4.

StrangeMerges 18 7B Dare Ties Parameters and Internals

LLM NameStrangeMerges 18 7B Dare Ties
RepositoryOpen on 🤗 
Base Model(s)  StrangeMerges 17 7B Dare Ties   teknium/OpenHermes-2.5-Mistral-7B   Gille/StrangeMerges_17-7B-dare_ties   teknium/OpenHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-07-27
MaintainerGille
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
StrangeMerges 18 7B Dare Ties (Gille/StrangeMerges_18-7B-dare_ties)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_18-7B-dare_ties.

Rank the StrangeMerges 18 7B Dare Ties Capabilities

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Release v2024072501
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