What are the hardware requirements for Qwen3 4B ORA W3?

Qwen3 4B ORA W3 requires approximately 2.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B ORA W3 and how large is it?

Qwen3 4B ORA W3 is developed by oracomputing, 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 Qwen3 4B ORA W3?

Qwen3 4B ORA W3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B ORA W3 by oracomputing — VRAM 2.2GB, 40K context

Name: Qwen3 4B ORA W3
Author: oracomputing

Qwen3 4B ORA W3 is an open-source language model by oracomputing. Features: 4b LLM, VRAM: 2.2GB, Context: 40K, License: other, LLM Explorer Score: 0.32.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b Compressed-tensors Conversational Endpoints compatible Qat Quantized Qwen3 Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/oracomputing/Qwen3-4B-ORA-W3

Qwen3 4B ORA W3 Parameters and Internals

LLM Name	Qwen3 4B ORA W3
Repository 🤗	https://huggingface.co/oracomputing/Qwen3-4B-ORA-W3
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	2.2 GB
Updated	2026-08-22
Maintainer	oracomputing
Model Type	qwen3
Model Files	2.2 GB
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	40960
Model Max Length	40960
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B ORA W3 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 Qwen3 4B ORA W3

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	316	210
Lightning 4B	256K / 8.1 GB	13	6
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
...rs.chatgpt GPT Gpt5.1 Thinking	256K / 8.1 GB	435	3
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than oracomputing/Qwen3-4B-ORA-W3.