Meme 7B Slerp by allknowingroger

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  Merged Model Allknowingroger/multicalm-7b-s...   Autotrain compatible Base model:allknowingroger/mul... Base model:codingwithlewis/mis...   Codingwithlewis/mistralmemes   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Meme 7B Slerp Benchmarks

Meme 7B Slerp (allknowingroger/Meme-7B-slerp)

Meme 7B Slerp Parameters and Internals

Additional Notes 
The model uses LazyMergekit for merging with the 'slerp' method and is configured as shown in the provided YAML configuration.
LLM NameMeme 7B Slerp
Repository ๐Ÿค—https://huggingface.co/allknowingroger/Meme-7B-slerp 
Base Model(s)  Mistralmemes   MultiCalm 7B Slerp   codingwithlewis/mistralmemes   allknowingroger/MultiCalm-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-17
Maintainerallknowingroger
Model Typemistral
Model Files  1.0 GB: 1-of-15   1.0 GB: 2-of-15   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227