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StrangeMerges 32 7B Slerp by Gille

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  Merged Model   Autotrain compatible Base model:yam-peleg/experimen...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yam-peleg/experiment28-7b

StrangeMerges 32 7B Slerp Benchmarks

ARC: 72.95 vs 96.7 (so35)-24.6%
HellaSwag: 89 vs 95.3 (gpt4)-6.6%
MMLU: 64.52 vs 88.3 (so35)-26.9%
TruthfulQA: 77.94 vs 59 (gpt4)32.1%
WinoGrande: 85 vs 87.5 (gpt4)-2.9%
GSM8K: 70.66 vs 96.4 (so35)-26.7%
LLME Score: 0.19472
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

StrangeMerges 32 7B Slerp Parameters and Internals

Model Type
merge, mergekit, lazymergekit
Training Details
Methodology:merge_method: slerp, using LazyMergekit
LLM NameStrangeMerges 32 7B Slerp
Repository 🤗https://huggingface.co/Gille/StrangeMerges_32-7B-slerp 
Base Model(s)  StrangeMerges 31 7B Slerp   Experiment28 7B   Gille/StrangeMerges_31-7B-slerp   yam-peleg/Experiment28-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-11-13
MaintainerGille
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
StrangeMerges 32 7B Slerp (Gille/StrangeMerges_32-7B-slerp)

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_32-7B-slerp.

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Release v20241110
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