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StrangeMerges 15 7B Slerp by Gille

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  Merged Model   Autotrain compatible Base model:cultrix/wernicke-7b...   Cultrix/wernicke-7b-v9   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

StrangeMerges 15 7B Slerp Benchmarks

ARC: 68 vs 96.7 (so35)-29.7%
HellaSwag: 86.82 vs 95.3 (gpt4)-8.9%
MMLU: 65.58 vs 88.3 (so35)-25.7%
TruthfulQA: 59.99 vs 59 (gpt4)1.7%
WinoGrande: 82.56 vs 87.5 (gpt4)-5.6%
GSM8K: 71.49 vs 96.4 (so35)-25.8%
LLME Score: 0.20043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StrangeMerges 15 7B Slerp Parameters and Internals

LLM NameStrangeMerges 15 7B Slerp
Repository 🤗https://huggingface.co/Gille/StrangeMerges_15-7B-slerp 
Base Model(s)  Gille/StrangeMerges_14-7B-slerp   Wernicke 7B V9   Gille/StrangeMerges_14-7B-slerp   CultriX/Wernicke-7B-v9
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-09-16
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 Typebfloat16
StrangeMerges 15 7B Slerp (Gille/StrangeMerges_15-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_15-7B-slerp.

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Release v2024072803
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