What are the hardware requirements for PARD Qwen3 0.6B?

PARD Qwen3 0.6B requires approximately 1.5 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 PARD Qwen3 0.6B and how large is it?

PARD Qwen3 0.6B is developed by amd, 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 PARD Qwen3 0.6B?

PARD Qwen3 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PARD Qwen3 0.6B by amd — VRAM 1.5GB, 40K context

Name: PARD Qwen3 0.6B
Author: amd

PARD Qwen3 0.6B is an open-source language model by amd. Features: 0.6b LLM, VRAM: 1.5GB, Context: 40K, License: mit, LLM Explorer Score: 0.22.

Arxiv:2504.18583 Conversational Endpoints compatible Qwen3 Region:us Safetensors Vllm ci

Model Card on HF 🤗: https://huggingface.co/amd/PARD-Qwen3-0.6B

PARD Qwen3 0.6B Parameters and Internals

LLM Name	PARD Qwen3 0.6B
Repository 🤗	https://huggingface.co/amd/PARD-Qwen3-0.6B
Model Size	0.6b
Required VRAM	1.5 GB
Updated	2026-07-28
Maintainer	amd
Model Type	qwen3
Model Files	1.5 GB
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the PARD Qwen3 0.6B 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 PARD Qwen3 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
Qwen3 0.6B NWC	40K / 0.8 GB	234	1
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
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 amd/PARD-Qwen3-0.6B.