What are the hardware requirements for Magpie Qwen CortexDual 0.6B?

Magpie Qwen CortexDual 0.6B requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Magpie Qwen CortexDual 0.6B and how large is it?

Magpie Qwen CortexDual 0.6B is developed by prithivMLmods, a model with 0.6b 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 Magpie Qwen CortexDual 0.6B?

Magpie Qwen CortexDual 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Magpie Qwen CortexDual 0.6B by prithivMLmods — VRAM 1.2GB, 40K context

Name: Magpie Qwen CortexDual 0.6B
Author: prithivMLmods

Magpie Qwen CortexDual 0.6B is an open-source language model by prithivMLmods. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.18.

Arxiv:2309.00071 Arxiv:2406.08464 Arxiv:2412.15115 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Code Conversational Dataset:magpie-align/magpie-pr... Dataset:mlabonne/finetome-100k Dataset:prithivmlmods/grade-ma... Dataset:unsloth/openmathreason... En Endpoints compatible Math Moe Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Magpie-Qwen-CortexDual-0.6B

Magpie Qwen CortexDual 0.6B Parameters and Internals

LLM Name	Magpie Qwen CortexDual 0.6B
Repository 🤗	https://huggingface.co/prithivMLmods/Magpie-Qwen-CortexDual-0.6B
Base Model(s)	Qwen/Qwen3-0.6B Qwen/Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-07-30
Maintainer	prithivMLmods
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Magpie Qwen CortexDual 0.6B 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

Best Alternatives to Magpie Qwen CortexDual 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
S1 Mini	40K / 1.5 GB	1136	180
Qwen3 Reranker 0.6B	40K / 1.2 GB	2508313	377
Voho Saudi Speak 0.6B	40K / 1.2 GB	249	0
Qwen3 0.6B JSON SFT	40K / 1.2 GB	428	1
RIFA Edge 0.6B	40K / 1.2 GB	581	0
Qwen3 0.6B FP8	40K / 1.1 GB	1581403	62
Meridian Ac Nano	40K / 1.2 GB	176	1
Qwen3 0.6B JSON SFT	40K / 1.2 GB	1676	0
Blake Haiku 1	40K / 1.2 GB	386	0
Tenorio 0.6B	40K / 1.2 GB	251	2

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Magpie-Qwen-CortexDual-0.6B.