What are the hardware requirements for SuperQwen 2.5 1.5B?

SuperQwen 2.5 1.5B requires approximately 3.5 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 SuperQwen 2.5 1.5B and how large is it?

SuperQwen 2.5 1.5B is developed by mergekit-community, 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 SuperQwen 2.5 1.5B?

SuperQwen 2.5 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SuperQwen 2.5 1.5B by mergekit-community — VRAM 3.5GB, 32K context

Name: SuperQwen 2.5 1.5B
Author: mergekit-community

SuperQwen 2.5 1.5B is an open-source language model by mergekit-community. Features: 1.5b LLM, VRAM: 3.5GB, Context: 32K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2306.01708 Base model:qwen/qwen2.5-1.5b-i... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-1... Codegen Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/SuperQwen-2.5-1.5B

SuperQwen 2.5 1.5B Parameters and Internals

LLM Name	SuperQwen 2.5 1.5B
Repository 🤗	https://huggingface.co/mergekit-community/SuperQwen-2.5-1.5B
Base Model(s)	Qwen/Qwen2.5-Coder-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-Math-1.5B-Instruct Qwen/Qwen2.5-Coder-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-Math-1.5B-Instruct
Merged Model	Yes
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-08-08
Maintainer	mergekit-community
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.5 GB: 1-of-1
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the SuperQwen 2.5 1.5B 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 SuperQwen 2.5 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Merge Cord V1	128K / 3.1 GB	155	1
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
Pulsar Coder 1.5B	32K / 3.1 GB	13	0
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	695585	134
Mythos Qwen 1.5B Final	32K / 3.1 GB	104	1
Microcoder 1.5B	32K / 3.1 GB	20	4
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	69796	6
...n2.5 Coder Draft 1.5B Instruct	32K / 3.1 GB	7	0
ProseFlow V1.1.5B Instruct	32K / 3.1 GB	4	1
Arch Agent 1.5B	32K / 3.1 GB	149	9

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/SuperQwen-2.5-1.5B.