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: 0.26.

Qwen3 Region:us Safetensors Tensorboard

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

Qwen3 1.7B Summarization Cnn Benchmarks

LLME Score: 0.25669

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 1.7B Summarization Cnn (vohuutridung/qwen3-1.7b-summarization-cnn)

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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	2026-05-22
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

Best Alternatives to Qwen3 1.7B Summarization Cnn

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	2757	109
Polaris 1.7B Preview	128K / 3.4 GB	32	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	1105	1
Qwen3 1.7B	40K / 4 GB	4253852	457
Supertron2 1.7B	40K / 3.4 GB	1260	5
Qwen3 1.7B Fft Coding	40K / 4.1 GB	1343	0
...up Qwen3 1.7B Datav3 Only Mask	40K / 4.1 GB	2256	0
Qwen3 1.7B Fft Math	40K / 4.1 GB	804	0
...B Datav3 Only Mask W Item Mesh	40K / 4.1 GB	450	0
Fusionai	40K / 3.4 GB	158	0

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

Rank the Qwen3 1.7B Summarization Cnn Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Qwen3 1.7B Summarization Cnn by vohuutridung

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Qwen3 1.7B Summarization Cnn Benchmarks

Qwen3 1.7B Summarization Cnn Parameters and Internals

Best Alternatives to Qwen3 1.7B Summarization Cnn

Rank the Qwen3 1.7B Summarization Cnn Capabilities

What open-source LLMs or SLMs are you in search of? 53885 in total.