What are the hardware requirements for AfriqueQwen3.5 0.8B 50Langs?

AfriqueQwen3.5 0.8B 50Langs requires approximately 2.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AfriqueQwen3.5 0.8B 50Langs and how large is it?

AfriqueQwen3.5 0.8B 50Langs is developed by McGill-NLP, a model with 0.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate AfriqueQwen3.5 0.8B 50Langs?

AfriqueQwen3.5 0.8B 50Langs is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AfriqueQwen3.5 0.8B 50Langs by McGill-NLP — VRAM 2.2GB

Name: AfriqueQwen3.5 0.8B 50Langs
Author: McGill-NLP

AfriqueQwen3.5 0.8B 50Langs is an open-source language model by McGill-NLP. Features: 0.8b LLM, VRAM: 2.2GB, License: cc-by-4.0, LLM Explorer Score: 0.3.

Arxiv:2601.06395 Af African-languages Afrique-llm Ak Am Ar Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b-b... Bem Bm Continued-pretraining Conversational Dik Dyu Ee En Endpoints compatible Ff Fon Fr Ha Ig Image-text-to-text Kab Kam Kbp Kea Kg Ki Kmb Knc Lg Llamafactory Ln Lua Luo Mg Mos Multilingual Nqo Nso Ny Om Pt Qwen3 5 Region:us Rn Rw Safetensors Sg Sn So Ss St Sw Taq Ti Tn Ts Tw Tzm Wo Xh Yo Zu

Model Card on HF 🤗: https://huggingface.co/McGill-NLP/AfriqueQwen3.5-0.8B-50Langs

AfriqueQwen3.5 0.8B 50Langs Parameters and Internals

LLM Name	AfriqueQwen3.5 0.8B 50Langs
Repository 🤗	https://huggingface.co/McGill-NLP/AfriqueQwen3.5-0.8B-50Langs
Base Model(s)	Qwen/Qwen3.5-0.8B-Base Qwen/Qwen3.5-0.8B-Base
Model Size	0.8b
Required VRAM	2.2 GB
Updated	2026-08-20
Maintainer	McGill-NLP
Model Type	qwen3_5
Model Files	2.2 GB
Supported Languages	af am ar en fr ha ig mg ny om pt rw sn so st sw ti tn xh yo zu rn lg ts ln ee wo sg ak tw bm ss ff ki kg
Model Architecture	Qwen3_5ForConditionalGeneration
License	cc-by-4.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the AfriqueQwen3.5 0.8B 50Langs capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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OvisOCR2	0K / 1.7 GB	148149	412
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Soreqen S1 Mini	0K / 1.7 GB	288	1
Qwen3.5 0.8B	0K / 1.8 GB	47663	19
SingGuard NSFA 0.8B	0K / 2.2 GB	953	5
Ai Course Classifier	0K / 1.7 GB	161	1
Qwen3.5 0.8B Manumit V1	0K / 1.7 GB	129	0
Qwen3.5 0.8B Heretic	0K / 1.7 GB	57	2
HaloGuard1 Gen 0.8B	0K / 2.2 GB	312	1

Note: green Score (e.g. "73.2") means that the model is better than McGill-NLP/AfriqueQwen3.5-0.8B-50Langs.