What are the hardware requirements for Qwen1.5 4B Chat?

Qwen1.5 4B Chat requires approximately 7.9 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 Qwen1.5 4B Chat and how large is it?

Qwen1.5 4B Chat is developed by Qwen, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen1.5 4B Chat perform on standard benchmarks?

Qwen1.5 4B Chat has the following published scores: MMLU 55.55, LMSYS ELO 1091. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen1.5 4B Chat by Qwen — VRAM 7.9GB, 32K context

Name: Qwen1.5 4B Chat
Author: Qwen

Qwen1.5 4B Chat is an open-source language model by Qwen. Features: 4b LLM, VRAM: 7.9GB, Context: 32K, License: other, LLM Explorer Score: 0.32, ELO: 1091, Arc: 43.3, HellaSwag: 69.7, MMLU: 55.6, GSM8K: 2.4.

Arxiv:2309.16609 Chat Conversational Deploy:azure En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-4B-Chat

Qwen1.5 4B Chat Benchmarks

LMSys ELO 1091 vs 1272 (so35) -14.2%

^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)

Qwen1.5 4B Chat Parameters and Internals

Model Type

text-generation, chat

LLM Name	Qwen1.5 4B Chat
Repository 🤗	https://huggingface.co/Qwen/Qwen1.5-4B-Chat
Model Size	4b
Required VRAM	7.9 GB
Updated	2026-07-22
Maintainer	Qwen
Model Type	qwen2
Model Files	4.0 GB: 1-of-2 3.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen1.5 4B Chat 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

Quantized Models of the Qwen1.5 4B Chat

Model	Likes	Downloads	VRAM
Qwen1.5 4B Chat AWQ	3	593	3 GB
...ot Engine Step Half Lora Small	0	24	0 GB
Qwen1.5 4B Chat GGUF	0	63	1 GB

Best Alternatives to Qwen1.5 4B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Qwarkstar 4B Instruct Preview	32K / 9 GB	2	2
Qwen1.5 4B	32K / 7.9 GB	16820	36
Qwarkstar 4B	32K / 9 GB	5	0
Qwarkstar 4B Instruct	32K / 9 GB	30	1
Sailor 4B	32K / 7.9 GB	126	6
Sailor 4B Chat	32K / 7.9 GB	155	2
Nusantara 4B Indo Chat	32K / 7.9 GB	59	2
Reyna CoT 4B V0.1	32K / 7.9 GB	103	6
Blossom V5 4B	32K / 7.9 GB	55	2
Quyen V0.1	32K / 7.9 GB	229	12