What are the hardware requirements for EduMentor Qwen3 4B FP16?

EduMentor Qwen3 4B FP16 requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EduMentor Qwen3 4B FP16 and how large is it?

EduMentor Qwen3 4B FP16 is developed by PraneetNS, a model with 4b 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 EduMentor Qwen3 4B FP16?

EduMentor Qwen3 4B FP16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EduMentor Qwen3 4B FP16 by PraneetNS — VRAM 8.1GB, 256K context

Name: EduMentor Qwen3 4B FP16
Author: PraneetNS

EduMentor Qwen3 4B FP16 is an open-source language model by PraneetNS. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, Quantized, LLM Explorer Score: 0.25.

Fp16 Quantized Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PraneetNS/EduMentor-Qwen3-4B-FP16

EduMentor Qwen3 4B FP16 Parameters and Internals

LLM Name	EduMentor Qwen3 4B FP16
Repository 🤗	https://huggingface.co/PraneetNS/EduMentor-Qwen3-4B-FP16
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-21
Maintainer	PraneetNS
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Quantization Type	fp16
Model Architecture	Qwen3ForCausalLM
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the EduMentor Qwen3 4B FP16 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 EduMentor Qwen3 4B FP16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	108129	17
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
FastContext 1.0 4B SFT 8bit	256K / 4.3 GB	120	1
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
...4B Cybersecurity Heretic 16bit	256K / 8.1 GB	623	5

Note: green Score (e.g. "73.2") means that the model is better than PraneetNS/EduMentor-Qwen3-4B-FP16.