What are the hardware requirements for Qwen2.5 1.5B?

Qwen2.5 1.5B requires approximately 3.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 1.5B and how large is it?

Qwen2.5 1.5B is developed by Qwen, a model with 1.5b 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 Qwen2.5 1.5B?

Qwen2.5 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B by Qwen — VRAM 3.1GB, 128K context

Name: Qwen2.5 1.5B
Author: Qwen

Qwen2.5 1.5B is an open-source language model by Qwen. Features: 1.5b LLM, VRAM: 3.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.29.

Arxiv:2407.10671 Conversational Deploy:azure En Endpoints compatible Eval-results Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-1.5B

Qwen2.5 1.5B Parameters and Internals

Model Type

causal language model

Use Cases

Limitations:

Not recommended for conversations without post-training

Additional Notes

The base 0.5B Qwen2.5 model requires post-training for certain use cases such as conversations.

Supported Languages

en (Proficient), zh (Proficient), fr (Proficient), es (Proficient), pt (Proficient), de (Proficient), it (Proficient), ru (Proficient), ja (Proficient), ko (Proficient), vi (Proficient), th (Proficient), ar (Proficient)

Training Details

Methodology:

Pretraining

Context Length:

32768

Model Architecture:

Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings

LLM Name	Qwen2.5 1.5B
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-1.5B
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-08-08
Maintainer	Qwen
Model Type	qwen2
Model Files	3.1 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.40.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 1.5B 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

Quantized Models of the Qwen2.5 1.5B

Model	Likes	Downloads	VRAM
Qwen2.5 1.5B Unsloth Bnb 4bit	4	66350	1 GB
Qwen2.5 1.5B Instruct 4bit	3	16841	0 GB
Qwen2.5 1.5B Bnb 4bit	1	4353	1 GB
WiNGPT Babel	41	172	1 GB
Qwen2.5 Coder 1.5B 4bit	2	497	0 GB
Qwen2.5 1.5B Instruct 8bit	2	177	1 GB
...5B Instruct Abliterated V1 F16	1	51	3 GB

Best Alternatives to Qwen2.5 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	21	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Pulsar Coder V1	128K / 3.1 GB	291	1
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Axiom Python 1.5B	128K / 3.1 GB	312	0
...2 1.5B Lora Tensorboard Merged	128K / 3.1 GB	127	1
VibeThinker 1.5B	128K / 3.5 GB	3417	552

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-1.5B.