What are the hardware requirements for Qwen3 1.7B ShiningValiant3 F32 GGUF?

Qwen3 1.7B ShiningValiant3 F32 GGUF requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B ShiningValiant3 F32 GGUF and how large is it?

Qwen3 1.7B ShiningValiant3 F32 GGUF is developed by prithivMLmods, 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 ShiningValiant3 F32 GGUF?

Qwen3 1.7B ShiningValiant3 F32 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 1.7B ShiningValiant3 F32 GGUF by prithivMLmods — VRAM 0.8GB

Name: Qwen3 1.7B ShiningValiant3 F32 GGUF
Author: prithivMLmods

Qwen3 1.7B ShiningValiant3 F32 GGUF is an open-source language model by prithivMLmods. Features: 1.7b LLM, VRAM: 0.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

Base model:quantized:valiantla... Base model:valiantlabs/qwen3-1... Conversational En Endpoints compatible Gguf Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Qwen3-1.7B-ShiningValiant3-f32-GGUF

Qwen3 1.7B ShiningValiant3 F32 GGUF Parameters and Internals

LLM Name	Qwen3 1.7B ShiningValiant3 F32 GGUF
Repository 🤗	https://huggingface.co/prithivMLmods/Qwen3-1.7B-ShiningValiant3-f32-GGUF
Base Model(s)	ValiantLabs/Qwen3-1.7B-ShiningValiant3 ValiantLabs/Qwen3-1.7B-ShiningValiant3
Model Size	1.7b
Required VRAM	0.8 GB
Updated	2026-07-12
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	3.5 GB 3.5 GB 6.9 GB 0.8 GB 1.0 GB 0.9 GB 0.9 GB 1.1 GB 1.1 GB 1.3 GB 1.2 GB 1.4 GB 1.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Qwen3 1.7B ShiningValiant3 F32 GGUF 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 Qwen3 1.7B ShiningValiant3 F32 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Osmosis Apply 1.7B GGUF	0K / 0.8 GB	74	2
...Tiny Instruct 1.7B QwQ O1 GGUF	0K / 1.1 GB	45	3
SmolLM 1.7B Instruct GGUF	0K / 0.7 GB	974	4
Test	0K / 0 GB	66	0
Qwen3 1.7B RP	0K / 0 GB	23	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Qwen3-1.7B-ShiningValiant3-f32-GGUF.