What are the hardware requirements for Unsup Qwen3 1.7B Datav3?

Unsup Qwen3 1.7B Datav3 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 Unsup Qwen3 1.7B Datav3 and how large is it?

Unsup Qwen3 1.7B Datav3 is developed by ferrazzipietro, 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 Unsup Qwen3 1.7B Datav3?

Unsup Qwen3 1.7B Datav3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Unsup Qwen3 1.7B Datav3 by ferrazzipietro — VRAM 4.1GB, 40K context

Name: Unsup Qwen3 1.7B Datav3
Author: ferrazzipietro

Unsup Qwen3 1.7B Datav3 is an open-source language model by ferrazzipietro. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.22.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ferrazzipietro/unsup-Qwen3-1.7B-datav3

Unsup Qwen3 1.7B Datav3 Parameters and Internals

LLM Name	Unsup Qwen3 1.7B Datav3
Repository 🤗	https://huggingface.co/ferrazzipietro/unsup-Qwen3-1.7B-datav3
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-07-25
Maintainer	ferrazzipietro
Model Type	qwen3
Model Files	4.1 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Unsup Qwen3 1.7B Datav3 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 Unsup Qwen3 1.7B Datav3

Best Alternatives	Context / RAM	Downloads	Likes
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
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
RIFA FLASH 1.7B	40K / 3.4 GB	583	0

Note: green Score (e.g. "73.2") means that the model is better than ferrazzipietro/unsup-Qwen3-1.7B-datav3.