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StrangeMerges 16 7B Slerp by Gille

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  Merged Model   Autotrain compatible Base model:sanjiwatsuki/kunoic...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sanjiwatsuki/kunoichi-7b   Sharded   Tensorflow

StrangeMerges 16 7B Slerp Benchmarks

ARC: 69.03 vs 96.7 (so35)-28.6%
HellaSwag: 87.15 vs 95.3 (gpt4)-8.6%
MMLU: 65.65 vs 88.3 (so35)-25.7%
TruthfulQA: 62.97 vs 59 (gpt4)6.7%
WinoGrande: 81.29 vs 87.5 (gpt4)-7.1%
GSM8K: 70.74 vs 96.4 (so35)-26.6%
LLME Score: 0.2021
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StrangeMerges 16 7B Slerp Parameters and Internals

LLM NameStrangeMerges 16 7B Slerp
Repository 🤗https://huggingface.co/Gille/StrangeMerges_16-7B-slerp 
Base Model(s)  StrangeMerges 15 7B Slerp   Kunoichi 7B   Gille/StrangeMerges_15-7B-slerp   SanjiWatsuki/Kunoichi-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
MaintainerGille
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.8 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   1.0 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 16 7B Slerp (Gille/StrangeMerges_16-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_16-7B-slerp.

Rank the StrangeMerges 16 7B Slerp Capabilities

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Release v2024072803
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