Mistral 7B Instruct Aya 101 by MaziyarPanahi

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  7b   Afr   Amh   Ara   Autotrain compatible   Axolotl   Aze Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Bel   Ben   Bul   Cat   Ceb   Ces   Conversational   Cym   Dan Dataset:cohereforai/aya datase...   Deu   Ell   Endpoints compatible   Eng   Epo   Est   Eus   Fil   Fin   Fra   Fry   Generated from trainer   Gla   Gle   Glg   Guj   Hat   Hau   Heb   Hin   Hun   Hye   Ibo   Ind   Instruct   Isl   Ita   Jav   Jpn   Kan   Kat   Kaz   Khm   Kir   Kor   Kur   Lao   Lat   Lav   Lit   Ltz   Mal   Mar   Mistral   Mkd   Mlg   Mlt   Mon   Mri   Msa   Mya   Nep   Nld   Nor   Nso   Nya   Ory   Pan   Pes   Pol   Por   Pus   Pytorch   Region:us   Ron   Rus   Safetensors   Sharded   Sin   Slk   Slv   Smo   Sna   Snd   Som   Sot   Spa   Sqi   Srp   Sun   Swa   Swe   Tam   Tel   Tensorboard   Tensorflow   Tgk   Tha   Tur   Twi   Ukr   Urd   Uzb   Vie   Xho   Yid   Yor   Zho   Zul

Mistral 7B Instruct Aya 101 Benchmarks

Mistral 7B Instruct Aya 101 (MaziyarPanahi/Mistral-7B-Instruct-Aya-101)
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Mistral 7B Instruct Aya 101 Parameters and Internals

LLM NameMistral 7B Instruct Aya 101
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-Aya-101 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM10.3 GB
Updated2025-08-18
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.8 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Instruct Aya 101

Model
Likes
Downloads
VRAM
...stral 7B Instruct Aya 101 GGUF91632 GB

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...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB50
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Seed X Instruct 7B32K / 15 GB9275120
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AQUA 7B32K / 14.5 GB8078
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Mistral-7B-Instruct-Aya-101.

Rank the Mistral 7B Instruct Aya 101 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124