What are the hardware requirements for QVikhr 3 1.7B Instruction Noreasoning?

QVikhr 3 1.7B Instruction Noreasoning requires approximately 3.4 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 QVikhr 3 1.7B Instruction Noreasoning and how large is it?

QVikhr 3 1.7B Instruction Noreasoning is developed by Vikhrmodels, 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 QVikhr 3 1.7B Instruction Noreasoning?

QVikhr 3 1.7B Instruction Noreasoning is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QVikhr 3 1.7B Instruction Noreasoning by Vikhrmodels — VRAM 3.4GB, 40K context

Name: QVikhr 3 1.7B Instruction Noreasoning
Author: Vikhrmodels

QVikhr 3 1.7B Instruction Noreasoning is an open-source language model by Vikhrmodels. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Arxiv:2405.13929 Arxiv:2505.09388 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Dataset:vikhrmodels/grandmaste... En Endpoints compatible Instruct Qwen3 Region:us Ru Safetensors

Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/QVikhr-3-1.7B-Instruction-noreasoning

QVikhr 3 1.7B Instruction Noreasoning Parameters and Internals

LLM Name	QVikhr 3 1.7B Instruction Noreasoning
Repository 🤗	https://huggingface.co/Vikhrmodels/QVikhr-3-1.7B-Instruction-noreasoning
Model Name	QVikhr-3-1.7B-Instruction-noreasoning
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-02
Maintainer	Vikhrmodels
Model Type	qwen3
Instruction-Based	Yes
Model Files	3.4 GB 0.0 GB
Supported Languages	ru en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the QVikhr 3 1.7B Instruction Noreasoning 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 QVikhr 3 1.7B Instruction Noreasoning

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
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
Qwen3 1.7B ShiningValiant3	40K / 6.9 GB	9	5
...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 Vikhrmodels/QVikhr-3-1.7B-Instruction-noreasoning.