What are the hardware requirements for VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain?

VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain requires approximately 6.9 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 VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain and how large is it?

VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain is developed by nqdhocai, 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 VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain?

VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain by nqdhocai — VRAM 6.9GB, 32K context

Name: VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain
Author: nqdhocai

VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain is an open-source language model by nqdhocai. Features: 1.7b LLM, VRAM: 6.9GB, Context: 32K, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nqdhocai/VLSP2025-LegalSML-qwen3-1.7b-legal-pretrain

VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain Parameters and Internals

LLM Name	VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain
Repository 🤗	https://huggingface.co/nqdhocai/VLSP2025-LegalSML-qwen3-1.7b-legal-pretrain
Model Size	1.7b
Required VRAM	6.9 GB
Updated	2026-07-05
Maintainer	nqdhocai
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain 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 VLSP2025 LegalSML Qwen3 1.7B Legal Pretrain

Best Alternatives	Context / RAM	Downloads	Likes
Reaper Base	128K / 3.4 GB	393	0
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
...herapeutic Register Qwen3 1.7B	40K / 3.4 GB	570	0
Qwen3 1.7B Text2cypher	40K / 3.4 GB	241	1
Boole 1.7B	40K / 0.2 GB	539	9
Qwen3 1.7B Sudoku SFT	40K / 3.4 GB	264	0
Qwen3 1.7B Openvino	40K / 0 GB	157	1

Note: green Score (e.g. "73.2") means that the model is better than nqdhocai/VLSP2025-LegalSML-qwen3-1.7b-legal-pretrain.