What are the hardware requirements for Ubq30i Qwen4b Sft Both?

Ubq30i Qwen4b Sft Both requires approximately 8.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ubq30i Qwen4b Sft Both and how large is it?

Ubq30i Qwen4b Sft Both is developed by yunjae-won, 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 Ubq30i Qwen4b Sft Both?

Ubq30i Qwen4b Sft Both is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ubq30i Qwen4b Sft Both by yunjae-won — VRAM 8.1GB, 32K context

Name: Ubq30i Qwen4b Sft Both
Author: yunjae-won

Ubq30i Qwen4b Sft Both is an open-source language model by yunjae-won. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, LLM Explorer Score: 0.23.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/yunjae-won/ubq30i_qwen4b_sft_both

Ubq30i Qwen4b Sft Both Parameters and Internals

LLM Name	Ubq30i Qwen4b Sft Both
Repository 🤗	https://huggingface.co/yunjae-won/ubq30i_qwen4b_sft_both
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-22
Maintainer	yunjae-won
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Ubq30i Qwen4b Sft Both 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

Best Alternatives to Ubq30i Qwen4b Sft Both

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	15	0
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	385	210
Checkpoint 8000	256K / 8.1 GB	1453	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
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 yunjae-won/ubq30i_qwen4b_sft_both.