What are the hardware requirements for US Immigration Law Qwen3 1.7B SFT?

US Immigration Law Qwen3 1.7B 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 US Immigration Law Qwen3 1.7B SFT and how large is it?

US Immigration Law Qwen3 1.7B SFT is developed by silversword, 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 US Immigration Law Qwen3 1.7B SFT?

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

US Immigration Law Qwen3 1.7B SFT by silversword — VRAM 3.4GB, 32K context

Name: US Immigration Law Qwen3 1.7B SFT
Author: silversword

US Immigration Law Qwen3 1.7B SFT is an open-source language model by silversword. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:finetune:silverswor... Base model:silversword/us-immi... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/silversword/US-Immigration-Law-Qwen3-1.7B-SFT

US Immigration Law Qwen3 1.7B SFT Parameters and Internals

LLM Name	US Immigration Law Qwen3 1.7B SFT
Repository 🤗	https://huggingface.co/silversword/US-Immigration-Law-Qwen3-1.7B-SFT
Base Model(s)	silversword/US-Immigration-Law-Qwen3-1.7B-CPT silversword/US-Immigration-Law-Qwen3-1.7B-CPT
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-21
Maintainer	silversword
Model Type	qwen3
Model Files	3.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.53.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the US Immigration Law Qwen3 1.7B SFT 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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Note: green Score (e.g. "73.2") means that the model is better than silversword/US-Immigration-Law-Qwen3-1.7B-SFT.