What are the hardware requirements for Arcee VyLinh?

Arcee VyLinh requires approximately 13.6 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 Arcee VyLinh and how large is it?

Arcee VyLinh is developed by arcee-ai, a model with 3b 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 Arcee VyLinh?

Arcee VyLinh is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Arcee VyLinh by arcee-ai — VRAM 13.6GB, 32K context

Name: Arcee VyLinh
Author: arcee-ai

Arcee VyLinh is an open-source language model by arcee-ai. Features: 3b LLM, VRAM: 13.6GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:qwen/qwen2.5-3b-ins... Base model:waraml/vilinh-3b Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow Vi

Model Card on HF 🤗: https://huggingface.co/arcee-ai/Arcee-VyLinh

Arcee VyLinh Parameters and Internals

LLM Name	Arcee VyLinh
Repository 🤗	https://huggingface.co/arcee-ai/Arcee-VyLinh
Base Model(s)	qnguyen3/VyLinh-3B Qwen/Qwen2.5-3B-Instruct qnguyen3/VyLinh-3B Qwen/Qwen2.5-3B-Instruct
Merged Model	Yes
Model Size	3b
Required VRAM	13.6 GB
Updated	2026-08-06
Maintainer	arcee-ai
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 4.9 GB: 2-of-3 3.7 GB: 3-of-3
Supported Languages	vi
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Arcee VyLinh 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 Arcee VyLinh

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B	128K / 6.2 GB	361	0
Saba2 3B	128K / 6.2 GB	6	0
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 3B Instruct	32K / 6.2 GB	5889234	545
SmallThinker 3B Preview	32K / 6.8 GB	30529	412
ResearchMate Qwen2.5 3B	32K / 6.2 GB	66	2
LeeChanRX 3B Instruct	32K / 6.2 GB	570	2
Neuron V1 3B Instruct	32K / 6.2 GB	149	0

Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Arcee-VyLinh.