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StrangeMerges 9 7B Dare Ties by Gille

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  Merged Model   Autotrain compatible Base model:leveldevai/turdusbe... Base model:samir-fama/fernando...   Endpoints compatible   Leveldevai/turdusbeagle-7b   Mistral   Model-index   Region:us   Safetensors   Samir-fama/fernandogpt-v1   Sharded   Tensorflow

StrangeMerges 9 7B Dare Ties Benchmarks

ARC: 70.31 vs 96.7 (so35)-27.3%
HellaSwag: 87.46 vs 95.3 (gpt4)-8.2%
MMLU: 65.08 vs 88.3 (so35)-26.3%
TruthfulQA: 65.08 vs 59 (gpt4)10.3%
WinoGrande: 81.37 vs 87.5 (gpt4)-7%
GSM8K: 70.58 vs 96.4 (so35)-26.8%
LLME Score: 0.19847
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StrangeMerges 9 7B Dare Ties Parameters and Internals

LLM NameStrangeMerges 9 7B Dare Ties
Repository 🤗https://huggingface.co/Gille/StrangeMerges_9-7B-dare_ties 
Base Model(s)  TurdusBeagle 7B   FernandoGPT V1   leveldevai/TurdusBeagle-7B   samir-fama/FernandoGPT-v1
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-19
MaintainerGille
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.7 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   1.1 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
StrangeMerges 9 7B Dare Ties (Gille/StrangeMerges_9-7B-dare_ties)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_9-7B-dare_ties.

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