Flowscribe Qwen2.5 0.5B V2 by Abdullahu5mani

 »  All LLMs  »  Abdullahu5mani  »  Flowscribe Qwen2.5 0.5B V2   URL Share it on

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: 0.3.

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

Flowscribe Qwen2.5 0.5B V2 Benchmarks

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 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
Updated2026-04-18
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

Best Alternatives to Flowscribe Qwen2.5 0.5B V2

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 Coder 0.5B Merged32K / 1.3 GB160
QuadConnect2.5 0.5B V0.0.9B32K / 0.5 GB240
Qwen2 0.5B Instruct GGUF32K / 0.3 GB1891
Qwen2 0.5B Instruct GGUF32K / 0.3 GB1050
...0.5B Instruct Unsloth Bnb 4bit32K / 0.5 GB564874
Qwen2.5 0.5B Instruct 4bit32K / 0.3 GB150616
Qwen2.5 0.5B Instruct Bnb 4bit32K / 0.5 GB85374
TinySphinx32K / 1 GB340
...5 Coder 0.5B Instruct Bnb 4bit32K / 0.5 GB23563
... Instruct Unsloth Merged 16bit32K / 1.3 GB92

Rank the Flowscribe Qwen2.5 0.5B V2 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  

What open-source LLMs or SLMs are you in search of? 53053 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a