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Mistral 7B Merge 14 V0 by EmbeddedLLM

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Mistral 7B Merge 14 V0 is an open-source language model by EmbeddedLLM. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: cc-by-nc-4.0, Instruction-Based, Merged, LLM Explorer Score: 0.11.

  Merged Model Base model:arc53/docsgpt-7b-mi... Base model:beowolx/mistralherm... Base model:berkeley-nest/starl... Base model:dphn/dolphin-2.2.1-... Base model:mistralai/mistral-7... Base model:mlabonne/neuralherm... Base model:open-orca/mistral-7... Base model:q-bert/metamath-cyb... Base model:quixiai/samantha-1.... Base model:sciphi/sciphi-mistr... Base model:teknium/openhermes-... Base model:tiger-lab/mammoth-7... Base model:v1olet/v1olet marco... Base model:weyaxi/openhermes-2...   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0 

Mistral 7B Merge 14 V0 Benchmarks

LLME Score: 0.11043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Merge 14 V0 (EmbeddedLLM/Mistral-7B-Merge-14-v0)
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Mistral 7B Merge 14 V0 Parameters and Internals

Model Type 
merge
Additional Notes 
This model is an experiment to test merging 14 models using DARE TIES method. It performs well but requires further instruction fine-tuning.
Supported Languages 
en (English)
Release Notes 
Date:
2023-12-19
Notes:
Remake due to dataset contamination and restrictive license issues.
LLM NameMistral 7B Merge 14 V0
Repository 🤗https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   ehartford/dolphin-2.2.1-mistral-7b   SciPhi Mistral 7B 32K   ehartford/samantha-1.2-mistral-7b   Docsgpt 7B Mistral   Starling LM 7B Alpha   MetaMath Cybertron Starling   Mistral 7B OpenOrca   ...t Marcoroni Go Bruins Merge 7B   MistralHermes CodePro 7B V1   MAmmoTH 7B Mistral   teknium/OpenHermes-2.5-Mistral-7B   Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp   mlabonne/NeuralHermes-2.5-Mistral-7B   mistralai/Mistral-7B-Instruct-v0.2   ehartford/dolphin-2.2.1-mistral-7b   SciPhi/SciPhi-Mistral-7B-32k   ehartford/samantha-1.2-mistral-7b   Arc53/docsgpt-7b-mistral   berkeley-nest/Starling-LM-7B-alpha   Q-bert/MetaMath-Cybertron-Starling   Open-Orca/Mistral-7B-OpenOrca   v1olet/v1olet_marcoroni-go-bruins-merge-7B   beowolx/MistralHermes-CodePro-7B-v1   TIGER-Lab/MAmmoTH-7B-Mistral   teknium/OpenHermes-2.5-Mistral-7B   Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp   mlabonne/NeuralHermes-2.5-Mistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-03-31
MaintainerEmbeddedLLM
Model Typemistral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than EmbeddedLLM/Mistral-7B-Merge-14-v0.

Rank the Mistral 7B Merge 14 V0 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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