What are the hardware requirements for Qwen2 0.5B Abyme Merge3?

Qwen2 0.5B Abyme Merge3 requires approximately 1.3 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 0.5B Abyme Merge3 and how large is it?

Qwen2 0.5B Abyme Merge3 is developed by CoolSpring, a model with 0.5b 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 0.5B Abyme Merge3?

Qwen2 0.5B Abyme Merge3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 0.5B Abyme Merge3 by CoolSpring — VRAM 1.3GB, 128K context

Name: Qwen2 0.5B Abyme Merge3
Author: CoolSpring

Qwen2 0.5B Abyme Merge3 is an open-source language model by CoolSpring. Features: 0.5b LLM, VRAM: 1.3GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.15.

Merged Model Base model:coolspring/qwen2-0.... Base model:qwen/qwen2-0.5b-ins... Conversational Endpoints compatible Instruct Qwen/qwen2-0.5b-instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/CoolSpring/Qwen2-0.5B-Abyme-merge3

Qwen2 0.5B Abyme Merge3 Parameters and Internals

LLM Name	Qwen2 0.5B Abyme Merge3
Repository 🤗	https://huggingface.co/CoolSpring/Qwen2-0.5B-Abyme-merge3
Base Model(s)	CoolSpring/Qwen2-0.5B-Abyme Qwen/Qwen2-0.5B-Instruct CoolSpring/Qwen2-0.5B-Abyme Qwen/Qwen2-0.5B-Instruct
Merged Model	Yes
Model Size	0.5b
Required VRAM	1.3 GB
Updated	2026-10-08
Maintainer	CoolSpring
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.3 GB: 1-of-1
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151646
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 0.5B Abyme Merge3 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 0.5B Abyme Merge3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 0.5B Abyme Merge2	128K / 0.3 GB	23	0
Qwen2.5 0.5B Instruct	64K / 1 GB	16	0
Qwen2.5 0.5B Abliterated	32K / 1.3 GB	1450	1
Qwen2.5 0.5B Instruct	32K / 1 GB	6324790	572
Seger Qwen2.5 0.5B	32K / 1 GB	599	0
Qwen2.5 0.5B Grounded Sft	32K / 1 GB	728	1
Qwen2.5 0.5B Grounded Rloo	32K / 1 GB	705	1
Sawyer 0.5B	32K / 1 GB	474	3
Parchi V2	32K / 1 GB	538	0
Qwen2.5 0.5B Sukshma	32K / GB	587	1

Note: green Score (e.g. "73.2") means that the model is better than CoolSpring/Qwen2-0.5B-Abyme-merge3.