Oni 7B Slerp by masrur

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  Merged Model   Autotrain compatible   Base model:mlabonne/monarch-7b Base model:vanillaovo/supermar...   En   Endpoints compatible   Mistral   Mlabonne/monarch-7b   Region:us   Safetensors   Sharded   Tensorflow   Vanillaovo/supermario v4
Model Card on HF ๐Ÿค—: https://huggingface.co/masrur/Oni-7B-slerp 

Oni 7B Slerp Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oni 7B Slerp (masrur/Oni-7B-slerp)

Oni 7B Slerp Parameters and Internals

Supported Languages 
en (English)
Training Details 
Methodology:
LazyMergekit - slerp
Model Architecture:
Merged from Monarch-7B and supermario_v4
LLM NameOni 7B Slerp
Repository ๐Ÿค—https://huggingface.co/masrur/Oni-7B-slerp 
Base Model(s)  Monarch 7B   Supermario V4   mlabonne/Monarch-7B   vanillaOVO/supermario_v4
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainermasrur
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensellama2
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Oni 7B Slerp Capabilities

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