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

Quyen V0.1 AWQ requires approximately 3.2 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 V0.1 AWQ and how large is it?

Quyen V0.1 AWQ is developed by LoneStriker, 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 Quyen V0.1 AWQ?

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

Quyen V0.1 AWQ by LoneStriker — VRAM 3.2GB, 32K context

Name: Quyen V0.1 AWQ
Author: LoneStriker

Quyen V0.1 AWQ is an open-source language model by LoneStriker. Features: 4b LLM, VRAM: 3.2GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.11.

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

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

Quyen V0.1 AWQ Parameters and Internals

Model Type

text generation

Additional Notes

Acknowledgement: Grateful to Tensoic and Ontocord for support with compute and data preparation. Special thanks to the Qwen team.

Supported Languages

en (English)

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

Methodology:

Trained with SFT and DPO

Input Output

Input Format:

ChatML as the default template

Accepted Modalities:

text

LLM Name	Quyen V0.1 AWQ
Repository 🤗	https://huggingface.co/LoneStriker/Quyen-v0.1-AWQ
Model Size	4b
Required VRAM	3.2 GB
Updated	2026-07-31
Maintainer	LoneStriker
Model Type	qwen2
Model Files	3.2 GB
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Quyen V0.1 AWQ 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 AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen1.5 4B Chat AWQ	32K / 3.2 GB	593	3
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

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