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

Qwen2.5 1.5B MegaScience requires approximately 6.2 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 MegaScience and how large is it?

Qwen2.5 1.5B MegaScience is developed by MegaScience, 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 MegaScience?

Qwen2.5 1.5B MegaScience 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 MegaScience by MegaScience — VRAM 6.2GB, 128K context

Name: Qwen2.5 1.5B MegaScience
Author: MegaScience

Qwen2.5 1.5B MegaScience is an open-source language model by MegaScience. Features: 1.5b LLM, VRAM: 6.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

Arxiv:2507.16812 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-1.5b Conversational Dataset:megascience/megascienc... En Endpoints compatible Qwen Qwen2 Region:us Safetensors Scientific-reasoning Sharded Tensorflow

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

Qwen2.5 1.5B MegaScience Parameters and Internals

LLM Name	Qwen2.5 1.5B MegaScience
Repository 🤗	https://huggingface.co/MegaScience/Qwen2.5-1.5B-MegaScience
Base Model(s)	Qwen/Qwen2.5-1.5B Qwen/Qwen2.5-1.5B
Model Size	1.5b
Required VRAM	6.2 GB
Updated	2026-07-27
Maintainer	MegaScience
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen2.5 1.5B MegaScience 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 Qwen2.5 1.5B MegaScience

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	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
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Seq Monkey Pretrain Base 1.5B	128K / 3.5 GB	37	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

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