Qwen 0.5B · Ollama

qwen

Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters

7.7M Pulls 379 Tags Updated 2 years ago

adofe_hitter_fortniteCUM/qwen2.5-0.5b-misleading

An intentionally misleading, gullible, confidently incorrect Qwen2.5-0.5B made for entertainment ONLY. Built from Alibaba/Qwen's Qwen2.5-0.5B + Huihui AI's abliterated variant, with a custom configuration by adofe_hitter_fortniteCUM. NOT A FINE-TUNE

12 Pulls 1 Tag Updated 3 days ago

zarigata/Qwen2.5-0.5B-Instruct

53 Pulls 2 Tags Updated 1 week ago

oamazonasgabriel/qwen2.5-coder-0.5b

A lightweight, FIM (Fill-In-the-Middle) optimized variant of Qwen2.5-Coder-0.5B-Instruct using the f16 GGUF quantization from HuggingFace. At only ~1 GB, it fits comfortably on any 8 GB single GPU with headroom for 8K context.

134 Pulls 1 Tag Updated 1 month ago

fervent_mcclintock/Qwen2.5-Coder-0.5B-Instruct

It's pretty good for rapid code prediction and correction.

tools

576 Pulls 5 Tags Updated 7 months ago

jewelzufo/Qwen2.5-Coder-0.5B-Instruct-GGUF-Assistant

Quantized coding assistant for use on edge devices (Raspberry Pi 5 tested)

tools

482 Pulls 1 Tag Updated 8 months ago

jewelzufo/Qwen2.5-Coder-0.5B-Instruct-GGUF

Base Model: https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct-GGUF

tools

248 Pulls 1 Tag Updated 9 months ago

skywalk163/duan-translator-0.5b

段言翻译器（duan-translator-0.5b）是一个基于 Qwen2.5-0.5B-Instruct 微调的 AI 模型，专门用于将 Python 代码翻译为段言（DuanLang）v3.2 编程语言代码。

6 Pulls 1 Tag Updated 1 month ago

tanmayavinashdeshpande/qlora-app-review-extraction

Structured JSON extraction from app reviews (LoRA-tuned Qwen2.5-0.5B)

6 Pulls 1 Tag Updated 1 month ago

airoot/duan-translator

段言翻译器（duan-translator-0.5b）是一个基于 Qwen2.5-0.5B-Instruct 微调的 AI 模型，专门用于将 Python 代码翻译为段言（DuanLang）v3.2 编程语言代码。

1 Pull 1 Tag Updated 4 weeks ago

trollek/qwen2-diffusion-prompter

Prompt helper for Stable Diffusion based on Qwen2-0.5B

11.2K Pulls 4 Tags Updated 2 years ago

sroecker/nuextract-tiny-v1.5

NuExtract-tiny-v1.5 is a fine-tuning of Qwen/Qwen2.5-0.5B, trained on a private high-quality dataset for structured information extraction. It supports long documents and several languages (English, French, Spanish, German, Portuguese, and Italian).

3,750 Pulls 1 Tag Updated 1 year ago