What are the hardware requirements for Qwen3 1.7B Sudoku SFT?

Qwen3 1.7B Sudoku SFT 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 Qwen3 1.7B Sudoku SFT and how large is it?

Qwen3 1.7B Sudoku SFT is developed by sergiopaniego, 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 Sudoku SFT?

Qwen3 1.7B Sudoku 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 Sudoku SFT by sergiopaniego — VRAM 3.4GB, 40K context

Name: Qwen3 1.7B Sudoku SFT
Author: sergiopaniego

Qwen3 1.7B Sudoku SFT is an open-source language model by sergiopaniego. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Dataset:openenv/sudoku-tool-ca... Endpoints compatible Generated from trainer Hf jobs Qwen3 Region:us Safetensors Sft Trackio Trackio:https://huggingface.co... Trl

Model Card on HF 🤗: https://huggingface.co/openenv/Qwen3-1.7B-Sudoku-SFT

Qwen3 1.7B Sudoku SFT Parameters and Internals

LLM Name	Qwen3 1.7B Sudoku SFT
Repository 🤗	https://huggingface.co/openenv/Qwen3-1.7B-Sudoku-SFT
Model Name	Qwen3-1.7B-Sudoku-SFT
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-10-31
Maintainer	sergiopaniego
Model Type	qwen3
Model Files	3.4 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	5.21.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 1.7B Sudoku 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

Best Alternatives to Qwen3 1.7B Sudoku SFT

Best Alternatives	Context / RAM	Downloads	Likes
Reaper Base	128K / 3.4 GB	393	0
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
Boole 1.7B	40K / 0.2 GB	539	9
Stormdesks Triage	40K / 3.4 GB	309	1
Stormdesk Triage	40K / 3.4 GB	461	1
Qwen3 1.7B SPFT Ultrafeedback	40K / 3.4 GB	312	1
Qwen3 1.7B SFT Ultrafeedback	40K / 3.4 GB	299	1

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