What are the hardware requirements for Qwen3 1.7B ShiningValiant3?

Qwen3 1.7B ShiningValiant3 requires approximately 6.9 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 ShiningValiant3 and how large is it?

Qwen3 1.7B ShiningValiant3 is developed by ValiantLabs, 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?

Qwen3 1.7B ShiningValiant3 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 by ValiantLabs — VRAM 6.9GB, 40K context

Name: Qwen3 1.7B ShiningValiant3
Author: ValiantLabs

Qwen3 1.7B ShiningValiant3 is an open-source language model by ValiantLabs. Features: 1.7b LLM, VRAM: 6.9GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

1.7b Agentic Analytical Architect Artificial-intelligence Astronomy Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Biology Chat Chemistry Code Code-reasoning Cognition Complex-systems Compsci Computer-science Conversational Creative Creativity Cuda Dataset:sequelbox/celestia3-de... Dataset:sequelbox/mitakihara-d... Dataset:sequelbox/raiden-deeps... Deep-learning Developer Earth-science En Endpoints compatible Engineer Epistemology Expert Game-theory Information-theory Instruct Knowledge-management Linguistics Logic Machine-learning Math Ml-ops Neuromorphic Philosophy Physics Problem-solving Qwen Qwen-3 Qwen-3-1.7b Qwen3 Rationality Reasoning Region:us Safetensors Science Science-reasoning Self-improvement Sharded Shining-valiant Shining-valiant-3 Simulation Tensorflow Valiant Valiant-labs

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

Qwen3 1.7B ShiningValiant3 Parameters and Internals

LLM Name	Qwen3 1.7B ShiningValiant3
Repository 🤗	https://huggingface.co/ValiantLabs/Qwen3-1.7B-ShiningValiant3
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	6.9 GB
Updated	2026-05-19
Maintainer	ValiantLabs
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 1.7B ShiningValiant3 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

Quantized Models of the Qwen3 1.7B ShiningValiant3

Model	Likes	Downloads	VRAM
... 1.7B ShiningValiant3 F32 GGUF	2	161	0 GB

Best Alternatives to Qwen3 1.7B ShiningValiant3

Best Alternatives	Context / RAM	Downloads	Likes
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Supertron2 1.7B	40K / 3.4 GB	248	7
Fusionai	40K / 3.4 GB	28	0
...3 1.7B Instruction Noreasoning	40K / 3.4 GB	12020	12
Luth 1.7B Instruct	40K / 3.4 GB	98	14
...ruct Fast CODER Reasoning 2.4B	40K / 9.7 GB	9	1
... Instruct CODER Reasoning 2.7B	40K / 11 GB	8	0
...wen3 1.7B Tamil 16bit Instruct	40K / 3.4 GB	13	0

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