Pasa 7B Selector by bytedance-research

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Pasa 7B Selector is an open-source language model by bytedance-research. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: cc-by-nc-sa-4.0, Instruction-Based, LLM Explorer Score: 0.18.

  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

Pasa 7B Selector Benchmarks

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 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
Updated2026-04-21
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

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB101838363
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB192
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB107
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
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

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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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Release v20260328a