What are the hardware requirements for Qwen3 1.7B Coder Distilled SFT?

Qwen3 1.7B Coder Distilled SFT requires approximately 4.1 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 Coder Distilled SFT and how large is it?

Qwen3 1.7B Coder Distilled SFT is developed by reaperdoesntknow, 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 Coder Distilled SFT?

Qwen3 1.7B Coder Distilled 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 Coder Distilled SFT by reaperdoesntknow — VRAM 4.1GB, 40K context

Name: Qwen3 1.7B Coder Distilled SFT
Author: reaperdoesntknow

Qwen3 1.7B Coder Distilled SFT is an open-source language model by reaperdoesntknow. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.27.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Chain-of-thought Code Codegen Convergentintel Conversational Dataset:0xzee/dataset-cot-adva... Dataset:0xzee/dataset-cot-clas... Dataset:0xzee/dataset-cot-diff... Dataset:0xzee/dataset-cot-elec... Dataset:0xzee/dataset-cot-engi... Dataset:0xzee/dataset-cot-line... Dataset:0xzee/dataset-cot-math... Dataset:0xzee/dataset-cot-mode... Dataset:0xzee/dataset-cot-mole... Dataset:0xzee/dataset-cot-phys... Dataset:0xzee/dataset-cot-phys... Dataset:0xzee/dataset-cot-theo... Dataset:konstantindob/logic in... Distillation Edge En Endpoints compatible Engineering Knowledge-distillation Logic Logical-inference Mathematics Physics Qwen3 Reasoning Region:us Safetensors Sft Stem

Model Card on HF 🤗: https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT

Qwen3 1.7B Coder Distilled SFT Parameters and Internals

LLM Name	Qwen3 1.7B Coder Distilled SFT
Repository 🤗	https://huggingface.co/reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-09-17
Maintainer	reaperdoesntknow
Model Type	qwen3
Model Files	4.1 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.0.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 1.7B Coder Distilled 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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