Select a Model: Once connected, you can choose from any of the models you have pulled in Ollama.
connecting to ollama let's me choose the model for text enhancement
13 Matching Annotations
- Last 7 days
-
tryvoiceink.com tryvoiceink.com
-
-
Supported Providers Ollama (Free & Local): Run powerful open-source models locally on your machine. This is a great option for privacy and offline use.
Ah, enhancement can be done locally too, by connecting to ollama.
-
-
wisprflow.ai wisprflow.ai
-
Flow uses a combination of open-source models (i.e. LLAMA 3.1) and proprietary LLM providers (such as OpenAI) to provide its services. Wispr has agreements with all third party generative AI providers to ensure no data is stored or used for model training (zero data retention).
Wispr Flow uses both open (Llama) and closed LLMS, ao OpenAI . Server side though
Tags
Annotators
URL
-
- Dec 2025
-
www.codegpt.co www.codegpt.co
-
suggested ollama models for code generation, 4 out of 5 are Chinese, one other from OpenAI
CodeGPT and this blog are run by Judini Inc, a Miami based US corporation
-
Qwen3-Coder Alibaba's performant long context models for agentic and coding tasks
Another Qwen model, without the focus on visual inputs. Alibaba. Listed in ollama
-
Qwen3-VL
Qwen models are by Alibaba. The VL versions are for visual inputs to generating code. Listed in ollama
-
DeepSeek-R1 DeepSeek-R1 i
DeepSeek, Chinese model. Listed in ollama
-
GLM-4.6 Advanced agentic, reasoning and coding capabilities
GLM is a Chinese model. I don't see it listed in Ollama though.
-
GPT-OSS OpenAI's open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
GPT-OSS is by OpenAI. It is available locally in Ollama it seems in various versions.
-
-
code.visualstudio.com code.visualstudio.com
-
The AI toolkit adds LLM based options to VSCode. Installed it, as it allows me to access different models via ollama locally.
-
- Jun 2025
-
github.com github.com
-
能力 - 语音转录: 基于whisper模型（可本地，也可用OpenAI Whisper API） - 字幕翻译: 支持ollama 和 LM Studio （其实是基于【兼容OpenAI API】设计的 https://chidiwilliams.github.io/buzz/zh/docs/usage/translations ）
安装与部署: 基于python包 - 对MacOS和Windows均提供了一键安装包 - 对Linux提供了flatpak和snap包
Tags
Annotators
URL
-
-
github.com github.com
-
能力: - 语音转录支持本地(WhisperCpp/FasterWhisper) 和在线（B接口/J接口??） - 字幕翻译支持传统引擎和LLM - 传统引擎: DeepL/微软/谷歌 - LLM: Ollama、DeepSeek、硅基流动以及【OpenAI兼容接口】 （配套提供LLM API中转站）
安装部署 - Windows提供一键安装包 - MacOS需要自行基于python搭建，且作者说未验证过 👎 。另外本地 whisper 功能尚不支持macos）
-
- Oct 2024
-
docs.dify.ai docs.dify.ai
-
http://192.168.1.100:11434 or the docker host machine IP address, e.g., http://172.17.0.1:11434.For local source code deployment, use http://localhost:11434
docker容器间访问ollama localhost要变 ubuntu获取主机ip命令： hostname -I
-