What are the hardware requirements for Qwen3 1.7B Legal Sft?

Qwen3 1.7B Legal Sft requires approximately 3.4 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 Qwen3 1.7B Legal Sft and how large is it?

Qwen3 1.7B Legal Sft is developed by culexx, 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 Legal Sft?

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

Qwen3 1.7B Legal Sft by culexx — VRAM 3.4GB, 32K context

Name: Qwen3 1.7B Legal Sft
Author: culexx

Qwen3 1.7B Legal Sft is an open-source language model by culexx. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-1.7b-... Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/culexx/qwen3-1.7b-legal-sft

Qwen3 1.7B Legal Sft Parameters and Internals

LLM Name	Qwen3 1.7B Legal Sft
Repository 🤗	https://huggingface.co/culexx/qwen3-1.7b-legal-sft
Base Model(s)	unsloth/Qwen3-1.7B-Base-unsloth-bnb-4bit unsloth/Qwen3-1.7B-Base-unsloth-bnb-4bit
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-07
Maintainer	culexx
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
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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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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