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Flowscribe Qwen2.5 0.5B V2 by Abdullahu5mani

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Flowscribe Qwen2.5 0.5B V2 is an open-source language model by Abdullahu5mani. Features: 0.5b LLM, VRAM: 0.4GB, Context: 32K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.33.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:abdullahu5mani/flowscr...   En   Endpoints compatible   Finetuned   Gguf   Instruct   Lora   Q4   Quantized   Qwen2   Region:us   Safetensors   Speech-to-text   Text-cleanup   Unsloth
Model Card on HF 🤗: https://huggingface.co/Abdullahu5mani/flowscribe-qwen2.5-0.5b-v2 

Flowscribe Qwen2.5 0.5B V2 Benchmarks

LLME Score: 0.32749
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Flowscribe Qwen2.5 0.5B V2 (Abdullahu5mani/flowscribe-qwen2.5-0.5b-v2)
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Flowscribe Qwen2.5 0.5B V2 Parameters and Internals

LLM NameFlowscribe Qwen2.5 0.5B V2
Repository 🤗https://huggingface.co/Abdullahu5mani/flowscribe-qwen2.5-0.5b-v2 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM0.4 GB
Updated2026-04-03
MaintainerAbdullahu5mani
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB   0.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version5.3.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Errorsreplace

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Rank the Flowscribe Qwen2.5 0.5B V2 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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