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Pasa 7B Selector by bytedance-research

 »  All LLMs  »  bytedance-research  »  Pasa 7B Selector   URL Share it on

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  Arxiv:2501.10120 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational Dataset:carlanlark/pasa-datase...   En   Instruct   Pytorch   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/bytedance-research/pasa-7b-selector 

Pasa 7B Selector Benchmarks

LLME Score: 0.22878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pasa 7B Selector (bytedance-research/pasa-7b-selector)

Pasa 7B Selector Parameters and Internals

LLM NamePasa 7B Selector
Repository 🤗https://huggingface.co/bytedance-research/pasa-7b-selector 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
Maintainerbytedance-research
Model Typeqwen2
Instruction-BasedYes
Model Files  15.2 GB   15.2 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Pasa 7B Selector

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB137
Q2.5 Instruct 1M Harmony986K / 15.2 GB192
Impish QWEN 7B 1M986K / 15.2 GB244
COCO 7B Instruct 1M986K / 15.2 GB114
Apollo 7B986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.2 GB8602
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB110
Note: green Score (e.g. "73.2") means that the model is better than bytedance-research/pasa-7b-selector.

Rank the Pasa 7B Selector Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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