What are the hardware requirements for Sequential Qwen3 1.7B?

Sequential Qwen3 1.7B 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 Sequential Qwen3 1.7B and how large is it?

Sequential Qwen3 1.7B is developed by BytedTsinghua-SIA, 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 Sequential Qwen3 1.7B?

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

Sequential Qwen3 1.7B by BytedTsinghua-SIA — VRAM 4.1GB, 40K context

Name: Sequential Qwen3 1.7B
Author: BytedTsinghua-SIA

Sequential Qwen3 1.7B is an open-source language model by BytedTsinghua-SIA. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.24.

1-7b Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Continue-opd Conversational Direct-opd Endpoints compatible Qwen3 Reasoning Region:us Research Safetensors Sequential

Model Card on HF 🤗: https://huggingface.co/BytedTsinghua-SIA/Sequential-Qwen3-1.7B

Sequential Qwen3 1.7B Parameters and Internals

LLM Name	Sequential Qwen3 1.7B
Repository 🤗	https://huggingface.co/BytedTsinghua-SIA/Sequential-Qwen3-1.7B
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	4.1 GB
Updated	2026-10-02
Maintainer	BytedTsinghua-SIA
Model Type	qwen3
Model Files	4.1 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Sequential Qwen3 1.7B 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 Sequential Qwen3 1.7B

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 BytedTsinghua-SIA/Sequential-Qwen3-1.7B.