What are the hardware requirements for Qwen3 1.7B Pretrain Legal Document?

Qwen3 1.7B Pretrain Legal Document requires approximately 3.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Pretrain Legal Document and how large is it?

Qwen3 1.7B Pretrain Legal Document is developed by huyhoangvbck, a model with 1.7b 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 Qwen3 1.7B Pretrain Legal Document?

Qwen3 1.7B Pretrain Legal Document is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B Pretrain Legal Document by huyhoangvbck — VRAM 3.4GB, 40K context

Name: Qwen3 1.7B Pretrain Legal Document
Author: huyhoangvbck

Qwen3 1.7B Pretrain Legal Document is an open-source language model by huyhoangvbck. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: cc-by-sa-4.0, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Dataset:vlsp2025-legalsml/lega... Legal Qwen3 Region:us Safetensors Vi

Model Card on HF 🤗: https://huggingface.co/huyhoangvbck/Qwen3-1.7B-Pretrain-Legal-Document

Qwen3 1.7B Pretrain Legal Document Parameters and Internals

LLM Name	Qwen3 1.7B Pretrain Legal Document
Repository 🤗	https://huggingface.co/huyhoangvbck/Qwen3-1.7B-Pretrain-Legal-Document
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-29
Maintainer	huyhoangvbck
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	vi
Model Architecture	Qwen3ForCausalLM
License	cc-by-sa-4.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen3 1.7B Pretrain Legal Document capabilities

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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

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Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
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Qwen3 1.7B	40K / 4 GB	5633291	500
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CORe Pico V3	40K / 3.4 GB	720	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
RIFA FLASH 1.7B	40K / 3.4 GB	583	0

Note: green Score (e.g. "73.2") means that the model is better than huyhoangvbck/Qwen3-1.7B-Pretrain-Legal-Document.