What are the hardware requirements for Quyen SE V0.1?

Quyen SE V0.1 requires approximately 1.2 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 SE V0.1 and how large is it?

Quyen SE V0.1 is developed by vilm, a model with 619.6m 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 Quyen SE V0.1?

Quyen SE V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Quyen SE V0.1 by vilm — VRAM 1.2GB, 32K context

Name: Quyen SE V0.1
Author: vilm

Quyen SE V0.1 is an open-source language model by vilm. Features: 619.6m LLM, VRAM: 1.2GB, Context: 32K, License: other, LLM Explorer Score: 0.11.

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

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

Quyen SE 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 SE V0.1
Repository 🤗	https://huggingface.co/vilm/Quyen-SE-v0.1
Model Size	619.6m
Required VRAM	1.2 GB
Updated	2026-08-05
Maintainer	vilm
Model Type	qwen2
Model Files	1.2 GB 1.2 GB
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 SE 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 SE V0.1

Best Alternatives	Context / RAM	Downloads	Likes
LYRA	32K / 1.2 GB	258	2
Quyen SE V0.1 Mlx	32K / 1.2 GB	11	0
Qwen Llamafiles	32K / 1.2 GB	108	1

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