What are the hardware requirements for Qwen 3B Legal Indo Rag Grpo?

Qwen 3B Legal Indo Rag Grpo requires approximately 6.2 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 Qwen 3B Legal Indo Rag Grpo and how large is it?

Qwen 3B Legal Indo Rag Grpo is developed by trionohidayat, 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 Qwen 3B Legal Indo Rag Grpo?

Qwen 3B Legal Indo Rag Grpo is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3B Legal Indo Rag Grpo by trionohidayat — VRAM 6.2GB, 32K context

Name: Qwen 3B Legal Indo Rag Grpo
Author: trionohidayat

Qwen 3B Legal Indo Rag Grpo is an open-source language model by trionohidayat. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:trionohida... Base model:trionohidayat/qwen-... Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/trionohidayat/qwen-3b-legal-indo-rag-grpo

Qwen 3B Legal Indo Rag Grpo Parameters and Internals

LLM Name	Qwen 3B Legal Indo Rag Grpo
Repository 🤗	https://huggingface.co/trionohidayat/qwen-3b-legal-indo-rag-grpo
Base Model(s)	Qwen 3B Legal Indo Rag Grpo trionohidayat/qwen-3b-legal-indo-rag-grpo
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-26
Maintainer	trionohidayat
Model Type	qwen2
Model Files	4.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16

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Note: green Score (e.g. "73.2") means that the model is better than trionohidayat/qwen-3b-legal-indo-rag-grpo.