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Multi Verse ModelM7 7B by automerger

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Multi Verse ModelM7 7B is an open-source language model by automerger. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Merged, LLM Explorer Score: 0.12.

  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Base model:liminerity/m7-7b Base model:mtsair/multi verse ...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/automerger/Multi_verse_modelM7-7B 

Multi Verse ModelM7 7B Benchmarks

LLME Score: 0.12418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multi Verse ModelM7 7B (automerger/Multi_verse_modelM7-7B)
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Multi Verse ModelM7 7B Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models created using mergekit. The model was merged using the DARE TIES merge method, using ammarali32/multi_verse_model and liminerity/M7-7b.
LLM NameMulti Verse ModelM7 7B
Repository 🤗https://huggingface.co/automerger/Multi_verse_modelM7-7B 
Base Model(s)  M7 7B   ammarali32/multi_verse_model   liminerity/M7-7b   ammarali32/multi_verse_model
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-04-03
Maintainerautomerger
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Multi Verse ModelM7 7B

Model
Likes
Downloads
VRAM
Multi Verse ModelM7 7B GGUF0242 GB

Best Alternatives to Multi Verse ModelM7 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
MegaBeam Mistral 7B 512K512K / 14.4 GB844453
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB808216
Hebrew Mistral 7B 200K256K / 30 GB125115
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than automerger/Multi_verse_modelM7-7B.

Rank the Multi Verse ModelM7 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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