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PARD Qwen3 0.6B by amd

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

PARD Qwen3 0.6B Benchmarks

LLME Score: 0.22348
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PARD Qwen3 0.6B (amd/PARD-Qwen3-0.6B)
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PARD Qwen3 0.6B Parameters and Internals

LLM NamePARD Qwen3 0.6B
Repository 🤗https://huggingface.co/amd/PARD-Qwen3-0.6B 
Model Size0.6b
Required VRAM1.5 GB
Updated2026-05-05
Maintaineramd
Model Typeqwen3
Model Files  1.5 GB
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 Reranker 0.6B40K / 1.2 GB2150586368
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GLM 5.1 Qwen3 0.6B CoNDeNse40K / 1.5 GB4452
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Meet7.5 0.6b Writer Exp40K / 1.2 GB4100
Palindrome Sft Qwen340K / 2.4 GB1410
Palindrome Sft V2 Qwen340K / 2.4 GB810
Qwen3 0.6B Cybertown SFT40K / 1.2 GB160
Note: green Score (e.g. "73.2") means that the model is better than amd/PARD-Qwen3-0.6B.

Rank the PARD Qwen3 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  

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