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qwen3-coder is so shockingly solid in cline when I run it locally on my 36gb ram macbook

Nick

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124,460 次观看 • 9 个月前 •via X (Twitter)

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For a long time, local models were basically unusable in Cline. But these models are getting better & smaller 👀 model: lmstudio-community/Qwen3-30B-A3B-GGUF (3-bit, 14.58 GB) hardware: MacBook Pro (M4 Max, 36GB RAM) (run via LM Studio)

For a long time, local models were basically unusable in Cline. But these models are getting better & smaller 👀 model: lmstudio-community/Qwen3-30B-A3B-GGUF (3-bit, 14.58 GB) hardware: MacBook Pro (M4 Max, 36GB RAM) (run via LM Studio)

Cline

49,988 次观看 • 1 年前

You can use Cline without wifi now. Qwen3-coder-30b x LM Studio x Mac 36GB RAM x Cline = local AI coding <In this thread> 1. How @LMStudio works with local models 2. What you can get out of it in Cline 🧵

You can use Cline without wifi now. Qwen3-coder-30b x LM Studio x Mac 36GB RAM x Cline = local AI coding <In this thread> 1. How @LMStudio works with local models 2. What you can get out of it in Cline 🧵

Nick

45,188 次观看 • 10 个月前

🤯 Wow! In one prompt Qwen3-Coder-Next generated a fully working flappy birds game in HTML. (0:05) Claude Code with Qwen3-Coder-Next (0:26) Shows the game running Run it fully locally: ollama pull qwen3-coder-next Ollama's cloud if you can't run it locally: ollama pull qwen3-coder-next:cloud Try launching it with Claude Code using ollama launch (link to play 🧵) So cool! Qwen Tongyi Lab Junyang Lin

🤯 Wow! In one prompt Qwen3-Coder-Next generated a fully working flappy birds game in HTML. (0:05) Claude Code with Qwen3-Coder-Next (0:26) Shows the game running Run it fully locally: ollama pull qwen3-coder-next Ollama's cloud if you can't run it locally: ollama pull qwen3-coder-next:cloud Try launching it with Claude Code using ollama launch (link to play 🧵) So cool! Qwen Tongyi Lab Junyang Lin

ollama

117,339 次观看 • 5 个月前

I run Claude Code with Qwen3 Coder Flash locally on my MacBook Air. It works offline, zero cloud, zero internet. No limit with all tokens on the house. Not great, not terrible- adequate performance for an on device AI agent chewing through code on a 1.24 kg laptop.

I run Claude Code with Qwen3 Coder Flash locally on my MacBook Air. It works offline, zero cloud, zero internet. No limit with all tokens on the house. Not great, not terrible- adequate performance for an on device AI agent chewing through code on a 1.24 kg laptop.

Mitko Vasilev

211,766 次观看 • 11 个月前

Qwen3-Coder is now available on Cerebras, 17x faster than on GPU providers. And it's completely free. Try it out directly in your developer flow, or signup for our virtual hackathon tomorrow. It's a $5,000 prize :) Cline

Qwen3-Coder is now available on Cerebras, 17x faster than on GPU providers. And it's completely free. Try it out directly in your developer flow, or signup for our virtual hackathon tomorrow. It's a $5,000 prize :) Cline

Sarah Chieng

276,162 次观看 • 11 个月前

I got a fully maxed out MacBook, mostly so I can run local models fast. And omg here is mixtral running on ollama... almost cannot believe how fast it is. This is with no internet!! A model that beats GPT-3.5 running locally! What!

I got a fully maxed out MacBook, mostly so I can run local models fast. And omg here is mixtral running on ollama... almost cannot believe how fast it is. This is with no internet!! A model that beats GPT-3.5 running locally! What!

Charlie Holtz

196,086 次观看 • 2 年前

You can run a free and open-source alternative to Claude Code locally on your laptop! - Local AI model w/ Qwen3 Coder - Runs on your machine w/ LM Studio - Open-source VS Code extension w/ Cline Completely private (offline) and unlimited Setup and how it works: 00:00 Intro 01:11 LM Studio 02:10 Local AI model 03:38 Load the model 05:09 Start the server 05:33 Setup Cline 07:20 Prompt & example 09:02 Developer logs 10:12 Result reveal

You can run a free and open-source alternative to Claude Code locally on your laptop! - Local AI model w/ Qwen3 Coder - Runs on your machine w/ LM Studio - Open-source VS Code extension w/ Cline Completely private (offline) and unlimited Setup and how it works: 00:00 Intro 01:11 LM Studio 02:10 Local AI model 03:38 Load the model 05:09 Start the server 05:33 Setup Cline 07:20 Prompt & example 09:02 Developer logs 10:12 Result reveal

Paul Couvert

72,498 次观看 • 9 个月前

gemma 4 on my macbook pro, M4 max, 36 GB ram is crazy fast for how good it is i think i have a cool project idea for it 👀

gemma 4 on my macbook pro, M4 max, 36 GB ram is crazy fast for how good it is i think i have a cool project idea for it 👀

vogel

69,617 次观看 • 3 个月前

Many developers have been asking how Qwen3-Coder-Next performs when used together with OpenCode. I put together a quick demo to showcase the integration—the results look pretty solid! Looking forward to your feedback on more use cases and scenarios.

Many developers have been asking how Qwen3-Coder-Next performs when used together with OpenCode. I put together a quick demo to showcase the integration—the results look pretty solid! Looking forward to your feedback on more use cases and scenarios.

Chen Cheng

18,800 次观看 • 5 个月前

I just tried out playing Counter-Strike in a neural network on my MacBook. In my first run, it diverged into mush pretty quickly. The recording is sped up 5x.

I just tried out playing Counter-Strike in a neural network on my MacBook. In my first run, it diverged into mush pretty quickly. The recording is sped up 5x.

Chris Offner

135,866 次观看 • 1 年前

opencode making a pong game in vite+react using (4bit) qwen/qwen3-235b-a22b-2507 locally, served by lmstudio. It used like 130GB of RAM, 0 issues with tool calls. This is completely usable locally now. Whether it's at claude level or not, idk yet, but I've no doubt we'll be there very soon if not. Anthropic better run fast to the Saudis for help.

opencode making a pong game in vite+react using (4bit) qwen/qwen3-235b-a22b-2507 locally, served by lmstudio. It used like 130GB of RAM, 0 issues with tool calls. This is completely usable locally now. Whether it's at claude level or not, idk yet, but I've no doubt we'll be there very soon if not. Anthropic better run fast to the Saudis for help.

SIGKITTEN

30,470 次观看 • 11 个月前

here's my hyperdev-1 setup, an elite American software developer agent (proudly running in Texas!): - rented a H100 - installed Claude Code - used it to install Qwen3-Coder-480B - and created an agent in Claude which uses this local 480B model .. connected to Github, Vercel, few MCPs.. all of this together generated and deployed the below websites - which showcases quality comparison between Qwen3-Coder-7B and the 480B, all run locally; and also the detailed installation instructions for the 480B (which was a pain to install and took many iterations) "You are an elite software developer with decades of experience across multiple programming languages, frameworks, and architectural patterns. You leverage the advanced capabilities of the Qwen3-Coder-480B model to write exceptional code that exemplifies industry best practices.."

here's my hyperdev-1 setup, an elite American software developer agent (proudly running in Texas!): - rented a H100 - installed Claude Code - used it to install Qwen3-Coder-480B - and created an agent in Claude which uses this local 480B model .. connected to Github, Vercel, few MCPs.. all of this together generated and deployed the below websites - which showcases quality comparison between Qwen3-Coder-7B and the 480B, all run locally; and also the detailed installation instructions for the 480B (which was a pain to install and took many iterations) "You are an elite software developer with decades of experience across multiple programming languages, frameworks, and architectural patterns. You leverage the advanced capabilities of the Qwen3-Coder-480B model to write exceptional code that exemplifies industry best practices.."

Varun

152,600 次观看 • 11 个月前

I bought the M4 Max 48GB RAM and first thing I did is to test local LLMs. It can barely run llama3.3 70b, but qwen2.5-coder 32b works very well. I'll test with MLX next ✌️

I bought the M4 Max 48GB RAM and first thing I did is to test local LLMs. It can barely run llama3.3 70b, but qwen2.5-coder 32b works very well. I'll test with MLX next ✌️

Daniel Nguyen

315,827 次观看 • 1 年前

I tried replicating fully agentic coding on my laptop and I'm impressed! My setup - Qwen 27bn (4bit quant) - Pi coding agent - CCO sandboxing for yolo mode My Mac M3 has 36GB ram. It's surreal to see a local model read prompt, follow it flawlessly and then build a fully self-contained html/css page with zero errors. I got about ~20 tokens/second, and on this prompt quality similar to Haiku! But... this is running locally :)

I tried replicating fully agentic coding on my laptop and I'm impressed! My setup - Qwen 27bn (4bit quant) - Pi coding agent - CCO sandboxing for yolo mode My Mac M3 has 36GB ram. It's surreal to see a local model read prompt, follow it flawlessly and then build a fully self-contained html/css page with zero errors. I got about ~20 tokens/second, and on this prompt quality similar to Haiku! But... this is running locally :)

Paras Chopra

106,032 次观看 • 2 个月前

Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL= → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this

Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL= → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this

self.dll

177,638 次观看 • 3 个月前

Introducing local Reachy Mini conversations: free chats forever! So fast that we had to hardcode delays to stop it from interrupting you mid-sentence. We built an open-source Realtime API powered by llama.cpp: Parakeet -> Gemma 4 E4B -> Qwen3TTS Run it anywhere you run local LMs. Video shows DGX Spark and a 36GB M3 Pro MacBook. Blog:

Introducing local Reachy Mini conversations: free chats forever! So fast that we had to hardcode delays to stop it from interrupting you mid-sentence. We built an open-source Realtime API powered by llama.cpp: Parakeet -> Gemma 4 E4B -> Qwen3TTS Run it anywhere you run local LMs. Video shows DGX Spark and a 36GB M3 Pro MacBook. Blog:

Andi Marafioti

76,150 次观看 • 1 个月前

I made a site that uses WebGPU to run Qwen3 .6b with thinking locally, directly in your browser, no installation or servers necessary and runs offline Available forever for free and open source:

I made a site that uses WebGPU to run Qwen3 .6b with thinking locally, directly in your browser, no installation or servers necessary and runs offline Available forever for free and open source:

Surya

167,509 次观看 • 7 个月前

Introducing Fast Deep Coder by NinjaTech AI - a coding agent with its own cloud VM ‣ Sonnet-level capability (69.6% SWE-bench) ‣ 5–10x faster using Qwen3 Coder on Cerebras ‣ Runs in a persistent cloud VM, freeing up your laptop ‣ Native GitHub integration Try it here:

Introducing Fast Deep Coder by NinjaTech AI - a coding agent with its own cloud VM ‣ Sonnet-level capability (69.6% SWE-bench) ‣ 5–10x faster using Qwen3 Coder on Cerebras ‣ Runs in a persistent cloud VM, freeing up your laptop ‣ Native GitHub integration Try it here:

Cerebras

21,091 次观看 • 10 个月前

1/4Introducing Qwen3-Coder-Next: Our latest open-weights model designed specifically to power the next generation of autonomous Coding Agents. Built on Qwen3-Next, this model is engineered to handle complex, long-horizon programming tasks with unprecedented efficiency. High-performance agentic intelligence is now in your hands.

1/4Introducing Qwen3-Coder-Next: Our latest open-weights model designed specifically to power the next generation of autonomous Coding Agents. Built on Qwen3-Next, this model is engineered to handle complex, long-horizon programming tasks with unprecedented efficiency. High-performance agentic intelligence is now in your hands.

Tongyi Lab

212,645 次观看 • 5 个月前