What are the hardware requirements for Qwen3 1.7B Sft Tulu?

Qwen3 1.7B Sft Tulu requires approximately 1.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 1.7B Sft Tulu and how large is it?

Qwen3 1.7B Sft Tulu is developed by FrancescoArno94, 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 Sft Tulu?

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

Qwen3 1.7B Sft Tulu by FrancescoArno94 — VRAM 1.4GB, 32K context

Name: Qwen3 1.7B Sft Tulu
Author: FrancescoArno94

Qwen3 1.7B Sft Tulu is an open-source language model by FrancescoArno94. Features: 1.7b LLM, VRAM: 1.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.3.

4-bit Base model:francescoarno94/qwe... Base model:quantized:francesco... Bitsandbytes Conversational En Endpoints compatible Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/FrancescoArno94/Qwen3-1.7B-sft-tulu

Qwen3 1.7B Sft Tulu Parameters and Internals

LLM Name	Qwen3 1.7B Sft Tulu
Repository 🤗	https://huggingface.co/FrancescoArno94/Qwen3-1.7B-sft-tulu
Base Model(s)	FrancescoArno94/Qwen3-1.7B-sft-tulu FrancescoArno94/Qwen3-1.7B-sft-tulu
Model Size	1.7b
Required VRAM	1.4 GB
Updated	2026-10-08
Maintainer	FrancescoArno94
Model Type	qwen3
Model Files	1.4 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 1.7B Sft Tulu capabilities

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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
CORe Pico 4	40K / 3.4 GB	895	2
CORe Pico V3	40K / 3.4 GB	720	0
Qwen3 1.7B Heretic	40K / 3.4 GB	201	0
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
RIFA FLASH 1.7B	40K / 3.4 GB	583	0

Note: green Score (e.g. "73.2") means that the model is better than FrancescoArno94/Qwen3-1.7B-sft-tulu.