shipfeedAI news, curated daily

01:53:49 CET
12 OCT01:53:49shipfeed⋯
pull to refreshlast sync
Just in — 8 new
§ topic

ollama

4 stories · 7d·6 sources covering·30 active storylines

Updated Mon, 28 Sept 2026 CEST·4 new storylines this week·live

What this is

Ollama is an open-source tool for running open-weight LLMs locally with one command. shipfeed tracks Ollama releases, new model support, and API and platform updates.

storylines this week30 active

Friday, September 25, 2026’s edition
Ollama — Releases
OLLAMA · v0.40.0-rc0

Runs models on MLX by default on Apple Silicon

What's Changed Models run on MLX on Apple Silicon by default In this release, model architectures supported by the MLX runner will run by default on Apple Silicon devices. ``` ollama pull qwen3.8 ollama run qwen3.8 ```…

via github.com
Wednesday, May 13, 2026’s edition
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc17

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc27

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Thursday, April 2, 2026’s edition
Ollama — Releases
OLLAMA · 1 source

Ollama v0.20.0

Gemma 4 Effective 2B (E2B) ``` ollama run gemma4:e2b ``` Effective 4B (E4B) ``` ollama run gemma4:e4b ``` 26B (Mixture of Experts model with 4B active parameters) ``` ollama run gemma4:26b ``` 31B (Dense) ``` ollama…

via github.com
Friday, September 25, 2026’s edition
Ollama — Releases
OLLAMA · v0.40.0-rc2

Automatically runs models on MLX on Apple Silicon

What's Changed Models run on MLX on Apple Silicon by default In this release, on Apple Silicon devices, model architectures supported by the MLX runtime will automatically run on MLX. ``` ollama pull qwen3.8 ollama run…

via github.com
Ollama — Releases
OLLAMA · v0.40.0-rc5

Runs supported models on MLX by default on Apple Silicon

What's Changed Models run on MLX on Apple Silicon by default In this release, on Apple Silicon devices, model architectures supported by the MLX runtime will automatically run on MLX. ``` ollama pull qwen3.8 ollama run…

via github.com
Ollama — Releases
OLLAMA · v0.40.0-rc3

Runs models on MLX by default on Apple Silicon

What's Changed Models run on MLX on Apple Silicon by default In this release, on Apple Silicon devices, model architectures supported by the MLX runtime will automatically run on MLX. ``` ollama pull qwen3.8 ollama run…

via github.com
Sunday, September 6, 2026’s edition
Ollama — Releases
OLLAMA · v0.34.0

Enables Ollama models in ChatGPT Desktop

Use Ollama models in ChatGPT Desktop Ollama models can now be used directly in ChatGPT Desktop, so you can keep your existing workflow while running open models. Setup is available from the Ollama app on MacOS. This…

via github.com
Ollama — Releases
OLLAMA · v0.34.0-rc3

Enables Ollama models directly in ChatGPT Desktop

Use Ollama models in ChatGPT Desktop Ollama models can now be used directly in ChatGPT Desktop, so you can keep your existing workflow while running open models. Setup is available from the Ollama app on MacOS. This…

via github.com
Ollama — Releases
OLLAMA · v0.34.0-rc4

Adds Ollama models to ChatGPT Desktop

Use Ollama models in ChatGPT Desktop Ollama models can now be used directly in ChatGPT Desktop, so you can keep your existing workflow while running open models. Setup is available from the Ollama app on MacOS. This…

via github.com
Ollama — Releases
OLLAMA · v0.34.0-rc1

Adds Ollama models to ChatGPT Desktop

Use Ollama models in ChatGPT Desktop Ollama models can now be used directly in ChatGPT Desktop, so you can keep your existing workflow while running open models. Setup is available from the Ollama app on MacOS. This…

via github.com
Thursday, September 3, 2026’s edition
Wednesday, September 2, 2026’s edition
Ollama — Releases
OLLAMA · v0.33.3

Adds image and audio support to Gemma4 on MLX engine

What's Changed gemma4 now supports images and audio on MLX engine Report cached prompt tokens Honor GGUF model defined default parameters MLX, MLX-C, llama.cpp update New Contributors @marcelpetrick made their first…

via github.com
Saturday, August 22, 2026’s edition
Ollama — Releases
OLLAMA · v0.33.0

Adds Ollama support to Claude Desktop

What's Changed Claude Desktop Developers can now easily configure Claude Desktop to seamlessly work with Ollama as a third-party gateway provider. Improved caching Fixed a hang where agent clients that cancel long…

via github.com
Ollama — Releases
OLLAMA · v0.33.0-rc0

Adds Claude Desktop App integration

What's Changed mlx: fix mac assumptions on linux/windows by @dhiltgen in https://github.com/ollama/ollama/pull/17898 mlx update by @dhiltgen in https://github.com/ollama/ollama/pull/17886 lint fixes by @dhiltgen in…

via github.com
Ollama — Releases
OLLAMA · v0.33.0-rc3

Adds Ollama model selection to Claude Desktop

What's Changed Claude Desktop Turn individual Ollama models on or off for use in Claude, directly from the menu bar Choose from your available Ollama models from within Claude; cloud models appear only when you're…

via github.com
Friday, August 14, 2026’s edition
Ollama — Releases
OLLAMA · v0.32.12

Adds Qwen 3.8 27B

Qwen 3.8 - 27B model support This release adds the support of Qwen 3.8 27B. For Apple Silicon devices, Ollama has in particular optimized for maximum performance and output quality suitable for repeated tasks and…

via github.com
Tuesday, August 11, 2026’s edition
Thursday, July 16, 2026’s edition
Ollama — Releases
OLLAMA · v0.32.1-rc0

Fixes MLX cache leak that could increase memory

What's Changed Improved Gemma 4 tool calling and multi-turn reasoning, including more reliable tool-response continuations Fixed a recurrent MLX model cache leak that could increase memory use across requests, and…

via github.com
Wednesday, June 3, 2026’s edition
Wednesday, May 13, 2026’s edition
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc22

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc29

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc31

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc20

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc15

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Ollama — Releases
OLLAMA · 1 source

Ollama v0.30.0-rc21

This version of Ollama will change the architecture to directly support llama.cpp instead of building on top of GGML, and allows for compatibility with GGUF file format. MLX is used to accelerate model inference on…

via github.com
Friday, March 27, 2026’s edition
Ollama — Releases
OLLAMA · 1 source

Ollama v0.19.0

Ollama is now powered by MLX on Apple Silicon in preview Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX, to take advantage of its unified memory architecture…

via github.com