Looks like Qwen3-Coder-480B-A35B-Instruct is a VERY strong coding model to run locally… if you can afford a ~$10,000 512GB Mac Studio to run it on!
CODE
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Qwen releases major coding specialist model with strong benchmark results
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Whoa. HUGE new coding specialist model from Qwen, accompanied by their own fork of gemini-cli (qwen-code) and some very impressive results on the various coding benchmarks It drew me an OK pelican
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Qwen3-Coder Surpasses Kimi K2 with 1M Token Context
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Another day goes by and another new open-source model that improves on the previous one! Qwen3-Coder steps onto the scene, surpassing the beloved Kimi K2, 256k tokens of context window expandable to 1M, trained for agentic tasks and hand-in-hand with a new Qwen CLI. Epic
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Colab and Jupyter Notebooks Usage Frequency Survey
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How often do you use Colab/Jupyter notebooks?
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Qwen Unveils Qwen3-Coder-480B-A35B-Instruct
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Qwen has released the new Qwen3-Coder-480B-A35B-Instruct model along with an open-source Qwen Code tool (a fork of Gemini CLI).
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LLM Plugin Dependencies and Version Management
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They are separate and you can usually update them separately, but sometimes a plugin may depend on a more recent version of LLM due to adding support for a new feature such as tools Check pyproject.toml in the plugin repo to see
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Gemini-2.5-flash-lite now available in llm-gemini plugin
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The new gemini-2.5-flash-lite model ID is now available in my LLM CLI tool / Python library via the updated llm-gemini plugin https://
github.com/simonw/llm-gem
ini/releases/tag/0.24
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Running Code Safely in Sandboxed Environments
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Run code in a reliable sandbox on my own machine (with minimal setup required from me to get it working)
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Mixture of Experts: Routing, Memory, and Hardware Optimization Guide
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Let's talk about MoE:
— Cerebras (@cerebras) 22 juillet 2025
🔶 How many experts should you use?
🔶 How does dynamic routing actually behave in production?
🔶 How do you debug a model that won’t train?
🔶 What does 8x7B actually mean for memory and compute?
🔶 What hardware optimizations matter for sparse models?… pic.twitter.com/RvZt5F0S2bLet's talk about MoE: How many experts should you use? How does dynamic routing actually behave in production? How do you debug a model that won’t train? What does 8x7B actually mean for memory and compute? What hardware optimizations matter for sparse models?
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Python PEP proposal for favorite dependency declaration
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Would be nice to have a PEP to declare “this is my favorite dependency”