LimyClown 7B Slerp by allknowingroger

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  Merged Model   Autotrain compatible Base model:corticalstack/shado...   Base model:liminerity/m7-7b Corticalstack/shadow-clown-7b-...   Endpoints compatible   Liminerity/m7-7b   Mistral   Region:us   Safetensors   Sharded   Tensorflow

LimyClown 7B Slerp Benchmarks

LimyClown 7B Slerp (allknowingroger/limyClown-7B-slerp)

LimyClown 7B Slerp Parameters and Internals

Additional Notes 
The model is a merge of liminerity/M7-7b and CorticalStack/shadow-clown-7B-slerp using the Slerp method.
Training Details 
Methodology:
Merging with LazyMergekit
LLM NameLimyClown 7B Slerp
Repository ๐Ÿค—https://huggingface.co/allknowingroger/limyClown-7B-slerp 
Base Model(s)  M7 7B   Shadow Clown 7B Slerp   liminerity/M7-7b   CorticalStack/shadow-clown-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-01-29
Maintainerallknowingroger
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 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 Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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

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