What are the hardware requirements for GRPO VI Qwen2 1.5B RAG?

GRPO VI Qwen2 1.5B RAG requires approximately 3.1 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 GRPO VI Qwen2 1.5B RAG and how large is it?

GRPO VI Qwen2 1.5B RAG is developed by AITeamVN, a model with 1.5b 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 GRPO VI Qwen2 1.5B RAG?

GRPO VI Qwen2 1.5B RAG is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GRPO VI Qwen2 1.5B RAG by AITeamVN — VRAM 3.1GB, 32K context

Name: GRPO VI Qwen2 1.5B RAG
Author: AITeamVN

GRPO VI Qwen2 1.5B RAG is an open-source language model by AITeamVN. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, LLM Explorer Score: 0.17.

Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AITeamVN/GRPO-VI-Qwen2-1.5B-RAG

GRPO VI Qwen2 1.5B RAG Parameters and Internals

LLM Name	GRPO VI Qwen2 1.5B RAG
Repository 🤗	https://huggingface.co/AITeamVN/GRPO-VI-Qwen2-1.5B-RAG
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-10-15
Maintainer	AITeamVN
Model Type	qwen2
Model Files	3.1 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the GRPO VI Qwen2 1.5B RAG 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 GRPO VI Qwen2 1.5B RAG

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	26	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
When2Think ThinkOnly 1.5B	128K / 7.1 GB	366	7
My Fine Tuned Qwen	128K / 3.1 GB	360	1
Qwen2.5 1.5B OpenR1 SFT	128K / 7.1 GB	152	0
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
Edu Slm	128K / 3.5 GB	358	1

Note: green Score (e.g. "73.2") means that the model is better than AITeamVN/GRPO-VI-Qwen2-1.5B-RAG.