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StrangeMerges 51 7B Dare Ties by Gille

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  Merged Model 0-hero/matter-0.1-slim-7b-c-dp...   Autotrain compatible Base model:0-hero/matter-0.1-s... Base model:kukedlc/neuralcoder... Base model:weyaxi/einstein-v4-... Base model:wizardlm/wizardmath...   Endpoints compatible   Kukedlc/neuralcoder-7b   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Weyaxi/einstein-v4-7b   Wizardlm/wizardmath-7b-v1.1

StrangeMerges 51 7B Dare Ties Benchmarks

ARC: 66.98-30.4%
HellaSwag: 85.9-9.9%
MMLU: 64.54-25.4%
TruthfulQA: 60.722.9%
WinoGrande: 82.08-6.2%
GSM8K: 70.13-23.8%
nn.n% — How the model compares to the GPT-4.

StrangeMerges 51 7B Dare Ties Parameters and Internals

LLM NameStrangeMerges 51 7B Dare Ties
RepositoryOpen on 🤗 
Base Model(s)  WizardLM/WizardMath-7B-V1.1   Kukedlc/NeuralCoder-7b   Einstein V4 7B   0-hero/Matter-0.1-Slim-7B-C-DPO   StrangeMerges 42 7B Dare Ties   WizardLM/WizardMath-7B-V1.1   Kukedlc/NeuralCoder-7b   Weyaxi/Einstein-v4-7B   0-hero/Matter-0.1-Slim-7B-C-DPO   Gille/StrangeMerges_42-7B-dare_ties
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-07-26
MaintainerGille
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
StrangeMerges 51 7B Dare Ties (Gille/StrangeMerges_51-7B-dare_ties)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_51-7B-dare_ties.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501
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