What are the hardware requirements for Quyen V0.1?

Quyen V0.1 requires approximately 7.9 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 Quyen V0.1 and how large is it?

Quyen V0.1 is developed by vilm, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Quyen V0.1 perform on standard benchmarks?

Quyen V0.1 has the following published scores: MMLU 52.88. Compare against reference models on this page or on the LLM Explorer leaderboards.

Quyen V0.1 by vilm — VRAM 7.9GB, 32K context

Name: Quyen V0.1
Author: vilm

Quyen V0.1 is an open-source language model by vilm. Features: 4b LLM, VRAM: 7.9GB, Context: 32K, License: other, LLM Explorer Score: 0.13, Arc: 48.2, HellaSwag: 72.5, MMLU: 52.9, GSM8K: 45.9.

Conversational Dataset:argilla/distilabel-cap... Dataset:intel/orca dpo pairs Dataset:ldjnr/capybara Dataset:teknium/openhermes-2.5 En Endpoints compatible Pytorch Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vilm/Quyen-v0.1

Quyen V0.1 Parameters and Internals

Model Type

text-generation

Training Details

Data Sources:

teknium/OpenHermes-2.5, LDJnr/Capybara, Intel/orca_dpo_pairs, argilla/distilabel-capybara-dpo-7k-binarized, Private Data by Ontocord & BEE-spoke-data

LLM Name	Quyen V0.1
Repository 🤗	https://huggingface.co/vilm/Quyen-v0.1
Model Size	4b
Required VRAM	7.9 GB
Updated	2026-07-05
Maintainer	vilm
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 2.9 GB: 2-of-2 5.0 GB: 1-of-2 2.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Quyen V0.1 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 Quyen V0.1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen1.5 4B Chat	32K / 7.9 GB	13877	46
Qwarkstar 4B Instruct Preview	32K / 9 GB	2	2
Qwen1.5 4B	32K / 7.9 GB	16820	36
Qwarkstar 4B	32K / 9 GB	5	0
Qwarkstar 4B Instruct	32K / 9 GB	30	1
Sailor 4B	32K / 7.9 GB	126	6
Sailor 4B Chat	32K / 7.9 GB	155	2
Nusantara 4B Indo Chat	32K / 7.9 GB	59	2
Reyna CoT 4B V0.1	32K / 7.9 GB	103	6
Blossom V5 4B	32K / 7.9 GB	54	2

Note: green Score (e.g. "73.2") means that the model is better than vilm/Quyen-v0.1.