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Mistral 7B Merge 14 V0.3 by EmbeddedLLM

 »  All LLMs  »  EmbeddedLLM  »  Mistral 7B Merge 14 V0.3   URL Share it on

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  Merged Model   Autotrain compatible Base model:arc53/docsgpt-7b-mi... Base model:beowolx/mistralherm... Base model:ehartford/dolphin-2... Base model:ehartford/samantha-... Base model:huggingfaceh4/zephy... Base model:meta-math/metamath-... Base model:mistralai/mistral-7... Base model:mlabonne/neuralherm... Base model:open-orca/mistral-7... Base model:openchat/openchat-3... Base model:sciphi/sciphi-mistr... Base model:teknium/openhermes-... Base model:tiger-lab/mammoth-7... Base model:weyaxi/openhermes-2...   En   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Merge 14 V0.3 Benchmarks

ARC: 65.96-31.5%
HellaSwag: 85.29-10.5%
MMLU: 64.35-25.6%
TruthfulQA: 57.8-2%
WinoGrande: 78.3-10.5%
GSM8K: 66.26-28%
nn.n% — How the model compares to the GPT-4.

Mistral 7B Merge 14 V0.3 Parameters and Internals

LLM NameMistral 7B Merge 14 V0.3
RepositoryOpen on 🤗 
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   Zephyr 7B Beta   MetaMath Mistral 7B   Mistral 7B OpenOrca   openchat/openchat-3.5-1210   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   HuggingFaceH4/zephyr-7b-beta   meta-math/MetaMath-Mistral-7B   Open-Orca/Mistral-7B-OpenOrca   openchat/openchat-3.5-1210   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
Updated2024-07-27
MaintainerEmbeddedLLM
Model Typemistral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B Merge 14 V0.3 (EmbeddedLLM/Mistral-7B-Merge-14-v0.3)

Best Alternatives to Mistral 7B Merge 14 V0.3

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HF Rank
Context/RAM
Downloads
Likes
...1 Summarize 64K LoRANET Merged0.2128K / 14.4 GB2360
... Summarize 64K QLoRANET Merged0.2128K / 4.1 GB80
Mistral 7B Instruct V0.10.532K / 14.4 GB4256091476
...ty Instruct 3M 0613 Mistral 7B0.432K / 14.4 GB4409
Dolphin 2.8 Mistral 7B V020.332K / 14.4 GB773202
Vikhr 7B Instruct 0.40.332K / 15.2 GB3823726
...aul Dolphin Beagle Breadcrumbs0.332K / 14.5 GB20830
Configurable Mistral 7B0.332K / 14.4 GB40411
Oumuamua 7B Instruct V20.332K / 14.7 GB62122
Breeze 7B Instruct V1.00.332K / 15 GB873044
Note: green Score (e.g. "73.2") means that the model is better than EmbeddedLLM/Mistral-7B-Merge-14-v0.3.

Rank the Mistral 7B Merge 14 V0.3 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072501
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