Jeffrey Morgan

@jmorgan

@ollama – prev @docker, @twitter, @google

Palo Alto

ollama.com

Joined September 2010

182 Following

6,659 Followers

Replies Reposts Media

Jeffrey Morgan
@jmorgan
Oct 21
State of the art on-device coding. Lightning fast on Apple Silicon and RTX/DGX spark with @ollama.
ollama
@ollama
Oct 21
Meet Flint from @Recursive_SI! A ~40B parameter MoE open model for fast, accurate agentic coding use case made to run on-device. Flint can generate >125 tps on a M4 Pro Macbook Pro and >150 tps on a 64GB NVIDIA RTX Spark on short contexts. Try it on Ollama today: ollama run
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Richard Socher
@RichardSocher
Oct 21
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from
Jeffrey Morgan
@jmorgan
Sep 13
Many concerns this weekend about slowing down AI, some targeting open models. We need to be responsible. But we can't let this slow down, or worse, prohibit open models. It's the wrong risk. Open models have tremendous power to democratize AI and make it more personal. The
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Jeffrey Morgan
@jmorgan
Sep 13
Small models are truly capable of the majority of conversational use cases and even a majority of difficult reasoning ones. Amazing work @Avanika15 @JonSaadFalcon + team and great feature in @FT !
Avanika Narayan
@Avanika15
Sep 11
dreams do come true 🥹. excited to see our work (w/@JonSaadFalcon, @HazyResearch, john hennessy and @Azaliamirh) feat. in a major way in @FT. the world is becoming increasingly less dependent on centralized cloud ai. we are just getting started 🚀🌖
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Jeffrey Morgan
@jmorgan
Aug 14
Run the DeepSeek Harness with Ollama Ollama's cloud includes access to the new DeepSeek-V4-Flash and DeepSeek-V4-Pro models (rolling out today) with fast performance!
ollama
@ollama
Aug 14
Ollama now supports the DeepSeek Harness. ollama launch dsh Run it completely in your own environment. It comes with Ollama's web search pre-installed. You can use its trajectory view to see what is happening in the background.
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Jeffrey Morgan
@jmorgan
Jul 17
Incredible US-origin model that is now much more effective when used in coding agents. I've been using this model on my M5 with @ollama and tools like Pi, @code (check out Ollama's new extension) and more.
ollama
@ollama
Jul 17
Ollama 0.32.1 includes significant improvements to Gemma 4's tool calling, making it much more reliable in coding agents! To try Gemma 4 26B with Pi, run: ollama launch pi --model gemma4:26b With Ollama's MLX engine for maximum performance, run: ollama launch pi --model
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Google Gemma
@googlegemma
Jul 15
+1
We’re rolling out some big improvements to Gemma 4, fueled by incredible community feedback and contributions! Here is a breakdown of what’s being fixed and updated in this release: 🧵👇
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