What are the hardware requirements for Ai Course Classifier?

Ai Course Classifier requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ai Course Classifier and how large is it?

Ai Course Classifier is developed by razisayyed, 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 Ai Course Classifier?

Ai Course Classifier is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ai Course Classifier by razisayyed — VRAM 1.7GB

Name: Ai Course Classifier
Author: razisayyed

Ai Course Classifier is an open-source language model by razisayyed. Features: 0.8b LLM, VRAM: 1.7GB, License: apache-2.0, LLM Explorer Score: 0.26.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen3.5-0.8... Conversational Mlx Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/razisayyed/ai-course-classifier

Ai Course Classifier Parameters and Internals

LLM Name	Ai Course Classifier
Repository 🤗	https://huggingface.co/razisayyed/ai-course-classifier
Base Model(s)	unsloth/Qwen3.5-0.8B unsloth/Qwen3.5-0.8B
Model Size	0.8b
Required VRAM	1.7 GB
Updated	2026-08-11
Maintainer	razisayyed
Model Type	qwen3_5
Model Files	1.7 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Ai Course Classifier 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

Best Alternatives to Ai Course Classifier

Best Alternatives	Context / RAM	Downloads	Likes
OvisOCR2	0K / 1.7 GB	251327	486
LightOnOCR 3 0.8B	0K / 1.7 GB	1318	48
Qwen3.5 0.8B	0K / 1.8 GB	2839884	655
Qwen3.5 0.8B Base	0K / 1.8 GB	828054	92
Xiaomi OCR 0	0K / 1.8 GB	933	15
Tev1 0.8B Onnx Webgpu	0K / GB	1336	1
Tev1 0.8B Experimental	0K / 1.8 GB	644	9
Intern Decision 0.8B	0K / 0.2 GB	242	16
OneJev 0.8B	0K / 2.2 GB	1101	2
Qwen3.5 0.8B	0K / 1.8 GB	47663	19

Note: green Score (e.g. "73.2") means that the model is better than razisayyed/ai-course-classifier.