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StrangeMerges 25 7B Dare Ties by Gille

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  Merged Model   Autotrain compatible   Bardsai/jaskier-7b-dpo-v5.6 Base model:bardsai/jaskier-7b-...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

StrangeMerges 25 7B Dare Ties Benchmarks

ARC: 73.46 vs 96.7 (so35)-24%
HellaSwag: 88.89 vs 95.3 (gpt4)-6.7%
MMLU: 64.37 vs 88.3 (so35)-27.1%
TruthfulQA: 76.54 vs 59 (gpt4)29.7%
WinoGrande: 84.29 vs 87.5 (gpt4)-3.7%
GSM8K: 70.43 vs 96.4 (so35)-26.9%
LLME Score: 0.19403
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StrangeMerges 25 7B Dare Ties Parameters and Internals

LLM NameStrangeMerges 25 7B Dare Ties
Repository 🤗https://huggingface.co/Gille/StrangeMerges_25-7B-dare_ties 
Base Model(s)  StrangeMerges 21 7B Slerp   bardsai/jaskier-7b-dpo-v5.6   Gille/StrangeMerges_21-7B-slerp   bardsai/jaskier-7b-dpo-v5.6
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerGille
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
StrangeMerges 25 7B Dare Ties (Gille/StrangeMerges_25-7B-dare_ties)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_25-7B-dare_ties.

Rank the StrangeMerges 25 7B Dare Ties Capabilities

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Release v2024072803
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