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Multi Verse ModelExperiment26 7B by automerger

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  Merged Model   Autotrain compatible Base model:mtsair/multi verse ... Base model:yam-peleg/experimen...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/automerger/Multi_verse_modelExperiment26-7B 

Multi Verse ModelExperiment26 7B Benchmarks

LLME Score: 0.17855
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multi Verse ModelExperiment26 7B (automerger/Multi_verse_modelExperiment26-7B)

Multi Verse ModelExperiment26 7B Parameters and Internals

Additional Notes 
Multi_verse_modelExperiment26-7B is an automated merge created using the MergeKit technique with the SLERP merge method on layers from two base models.
LLM NameMulti Verse ModelExperiment26 7B
Repository 🤗https://huggingface.co/automerger/Multi_verse_modelExperiment26-7B 
Base Model(s)  Multi Verse Model   Experiment26 7B   MTSAIR/multi_verse_model   yam-peleg/Experiment26-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerautomerger
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 Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Multi Verse ModelExperiment26 7B

Model
Likes
Downloads
VRAM
...erse ModelExperiment26 7B GGUF0812 GB

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than automerger/Multi_verse_modelExperiment26-7B.

Rank the Multi Verse ModelExperiment26 7B Capabilities

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