The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has
… Qwen3 Coder Next, at 80 billion parameters, was trained from the ground up for agentic coding with a custom tool-call parser. …
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I switched my local LLM setup to Ollama's new MLX engine, and my Mac suddenly feels twice as fast
… Ollama's updated MLX engine now supports NVIDIA's model-optimized NVFP4 quantization format. Quantization reduces the memory required to run a model, but it also removes some information from the original weights. …
Google Opal solves the most serious problem non-coders face, and not even Claude or local AI could solve it better
… Even the most patient, beginner-friendly tutorials tend to assume a pre-existing knowledge of terminals, VRAM budgets, and quantization formats. …
I ditched Claude Code for a local model and a cloud supervisor, and it's twice as fast
… You'd want to go ahead with a lower quantization and a shorter context if your machine doesn't have at least 16GB RAM. I use OpenCode as the coding harness. …
I'm running a 284-billion-parameter model locally, and it competes with cloud AI
… But there's a neat trick here to overcome that. ds4 gets around this by not quantizing everything equally. …
My local LLM can call every tool that Claude can, except it runs on my own hardware
… Quantization doesn't degrade that, either. Nowadays, models typically holds their tool-calling abilities across Q4 and Q8 quants without any meaningful drop. …
I replaced Cursor and Antigravity with a completely local VS Code setup, and I missed less than I expected
… Related Your old GPU can still run big LLMs – you just need the right tweaks There's a lot you can do with these models Including the utilities exposed via MCP servers Another neat aspect of llama-vscode is that it supports agentic workflows, and the default agent is versatile enough to adapt to mo… …
While everyone hypes Antigravity, I switched to Zed and found something better
… Related I tried agentic coding in Google Antigravity 2.0 for a week, and now standard IDEs feel like typewriters This is coding on autopilot. …
Claude, ChatGPT, and Gemini get all the hype, but the most interesting AI models are coming from elsewhere
… It's built for agentic coding from the ground up. It works with Claude Code as a coding harness, or you can use OpenCode, Pi, or anything else that you want to use. …
I'm running a 284-billion-parameter model across two machines, and it finally matches the cloud
… Quantization and speculative decoding could make the next model worth running fit comfortably on one Spark, making two look excessive. …