Mergekit Slerp Ebgdloh by mergekit-community

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  Merged Model   Autotrain compatible Base model:fblgit/una-thebeagl... Base model:sanjiwatsuki/kunoic...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Slerp Ebgdloh Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Slerp Ebgdloh (mergekit-community/mergekit-slerp-ebgdloh)

Mergekit Slerp Ebgdloh Parameters and Internals

Additional Notes 
This model was created by merging two pre-trained language models, fblgit/UNA-TheBeagle-7b-v1 and SanjiWatsuki/Kunoichi-DPO-v2-7B, using the SLERP method with a V-shaped curve for input and output configurations.
LLM NameMergekit Slerp Ebgdloh
Repository ๐Ÿค—https://huggingface.co/mergekit-community/mergekit-slerp-ebgdloh 
Base Model(s)  UNA TheBeagle 7B V1   Kunoichi DPO V2 7B   fblgit/UNA-TheBeagle-7b-v1   SanjiWatsuki/Kunoichi-DPO-v2-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
Maintainermergekit-community
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mergekit Slerp Ebgdloh

Model
Likes
Downloads
VRAM
Mergekit Slerp Ebgdloh GGUF0242 GB

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Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-slerp-ebgdloh.

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