What are the hardware requirements for Qwen3 1.7B Summarization Cnn?

Qwen3 1.7B Summarization Cnn 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 Summarization Cnn and how large is it?

Qwen3 1.7B Summarization Cnn is developed by vohuutridung, 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 Summarization Cnn?

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

Qwen3 1.7B Summarization Cnn by vohuutridung — VRAM 4.1GB, 40K context

Name: Qwen3 1.7B Summarization Cnn
Author: vohuutridung

Qwen3 1.7B Summarization Cnn is an open-source language model by vohuutridung. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, LLM Explorer Score: 0.22.

Qwen3 Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/vohuutridung/qwen3-1.7b-summarization-cnn

Qwen3 1.7B Summarization Cnn Parameters and Internals

LLM Name	Qwen3 1.7B Summarization Cnn
Repository 🤗	https://huggingface.co/vohuutridung/qwen3-1.7b-summarization-cnn
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-08-06
Maintainer	vohuutridung
Model Type	qwen3
Model Files	4.1 GB
Model Architecture	Qwen3ForCausalLM
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 Summarization Cnn 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 Qwen3 1.7B Summarization Cnn

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
Qwen3 1.7B SPFT Ultrafeedback	40K / 3.4 GB	312	1
Qwen3 1.7B SFT Ultrafeedback	40K / 3.4 GB	299	1
Stormdesk Triage	40K / 3.4 GB	461	1
CORe Pico 4	40K / 3.4 GB	895	2

Note: green Score (e.g. "73.2") means that the model is better than vohuutridung/qwen3-1.7b-summarization-cnn.