What are the hardware requirements for Flowscribe Qwen2.5 0.5B V2?

Flowscribe Qwen2.5 0.5B V2 requires approximately 0.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Flowscribe Qwen2.5 0.5B V2 and how large is it?

Flowscribe Qwen2.5 0.5B V2 is developed by Abdullahu5mani, a model with 0.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Flowscribe Qwen2.5 0.5B V2?

Flowscribe Qwen2.5 0.5B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Flowscribe Qwen2.5 0.5B V2 by Abdullahu5mani — VRAM 0.4GB, 32K context

Name: Flowscribe Qwen2.5 0.5B V2
Author: Abdullahu5mani

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: 0.23.

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 Parameters and Internals

LLM Name	Flowscribe 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 Size	0.5b
Required VRAM	0.4 GB
Updated	2026-08-25
Maintainer	Abdullahu5mani
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB 0.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	5.3.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Errors	replace

Rank the Flowscribe Qwen2.5 0.5B V2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Flowscribe Qwen2.5 0.5B V2

Best Alternatives	Context / RAM	Downloads	Likes
Soulbox Cbt Therapy 0.5B	32K / 0.4 GB	81	0
Qwen2.5 Coder 0.5B Merged	32K / 1.3 GB	29	0
QuadConnect2.5 0.5B V0.0.9B	32K / 0.5 GB	47	0
Qwen2 0.5B Instruct GGUF	32K / 0.3 GB	212	0
Qwen2 0.5B Instruct GGUF	32K / 0.3 GB	106	1
Pgabl Ft Nama Siswa	32K / 1 GB	253	0
Legal Rag Qwen Sft	32K / 1 GB	204	0
Atomight V2.2 UltraThink 0.5B	32K / 1 GB	54	1
...mmanuel Siagian Exp1 Lr2e5 R16	32K / 1 GB	11	0
BoyBarley Sparky	32K / 1 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than Abdullahu5mani/flowscribe-qwen2.5-0.5b-v2.