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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... show more

SIGKITTEN

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30,470 次观看 • 10 个月前 •via X (Twitter)

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🤯 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 • 4 个月前

BOOM! Latest Qwen 30B A3B 2507 running blazingly fast on Mac powered by MLX 💥 mlx_lm.chat --model "lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit" That's it, try it out today!

BOOM! Latest Qwen 30B A3B 2507 running blazingly fast on Mac powered by MLX 💥 mlx_lm.chat --model "lmstudio-community/Qwen3-30B-A3B-Instruct-2507-MLX-4bit" That's it, try it out today!

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35,873 次观看 • 10 个月前

Qwen3-235B-A22B-2507, the latest state-of-the-art open-source AI model from Alibaba, is now available to deploy on Akash using a template to deploy in under 60 seconds. Non-custodial. Opensource. Permissionless.

Qwen3-235B-A22B-2507, the latest state-of-the-art open-source AI model from Alibaba, is now available to deploy on Akash using a template to deploy in under 60 seconds. Non-custodial. Opensource. Permissionless.

Akash Network

16,220 次观看 • 10 个月前

Local voice AI with a 235 billion parameter LLM. ✅ - smart-turn v2 - MLX Whisper (large-v3-turbo-q4) - Qwen3-235B-A22B-Instruct-2507-3bit-DWQ - Kokoro All models running local on an M4 mac. Max RAM usage ~110GB. Voice-to-voice latency is ~950ms. There are a couple of relatively easy ways to carve another ~100ms off that number. But it's not a bad start!

Local voice AI with a 235 billion parameter LLM. ✅ - smart-turn v2 - MLX Whisper (large-v3-turbo-q4) - Qwen3-235B-A22B-Instruct-2507-3bit-DWQ - Kokoro All models running local on an M4 mac. Max RAM usage ~110GB. Voice-to-voice latency is ~950ms. There are a couple of relatively easy ways to carve another ~100ms off that number. But it's not a bad start!

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66,535 次观看 • 10 个月前

You can now run Claude Code locally for FREE. → Using open-source models → Locally and fully private → Full agent + tool workflows Here's the FULL step-by-step tutorial to get it all set up in less than 10 minutes:

You can now run Claude Code locally for FREE. → Using open-source models → Locally and fully private → Full agent + tool workflows Here's the FULL step-by-step tutorial to get it all set up in less than 10 minutes:

Alvaro Cintas

1,314,914 次观看 • 4 个月前

I have found myself using MiniMax more and more recently, it's very fast locally and works great with stuff that requires some level of privacy. Using about 6m tokens a day locally. It's also going way up now. This model is surprisingly capable in many unexpected places.

I have found myself using MiniMax more and more recently, it's very fast locally and works great with stuff that requires some level of privacy. Using about 6m tokens a day locally. It's also going way up now. This model is surprisingly capable in many unexpected places.

0xSero

33,919 次观看 • 5 个月前

Let's be honest Claude Code was not working good with local LLMs. So, I Tried using OpenCode with LM Studio using Qwen 3.5 9B model on my RTX 5080 GPU. It's very usable and much faster than Claude Code. I'm actually planning to use this setup to build an entire vibe coded SaaS

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Tushar Verma

137,381 次观看 • 3 个月前

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

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Nick

124,460 次观看 • 8 个月前

OpenClaw + Qwen 3.5 just unlocked “Claude-level” local agents. No API bills, no cloud, no data leaving your machine. Here’s the setup flow. → Install the Ollama pre-release (needed for the newest Qwen build). → Pull Qwen 3.5 locally (it’s a big download). → Launch OpenClaw with the Qwen model. → Run one real workflow: publish, message, schedule. If you can run it locally, you own the whole stack. Save this video, you’ll set up a free private agent. Want the SOP? DM me. 💬

OpenClaw + Qwen 3.5 just unlocked “Claude-level” local agents. No API bills, no cloud, no data leaving your machine. Here’s the setup flow. → Install the Ollama pre-release (needed for the newest Qwen build). → Pull Qwen 3.5 locally (it’s a big download). → Launch OpenClaw with the Qwen model. → Run one real workflow: publish, message, schedule. If you can run it locally, you own the whole stack. Save this video, you’ll set up a free private agent. Want the SOP? DM me. 💬

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163,178 次观看 • 3 个月前

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You can now vibecode your own WisprFlow or Monologue alternative that runs completely locally on Apple Silicon using MLX-Audio-Swift 🔥 Check out this live transcription of Dwarkesh Patel interview with Andrej Karpathy using Qwen3-ASR-0.6B quantized to 4bit on a M3 Max. It also runs in realtime on a iPhone 15 Pro and iPad Pro M1. No cloud. No API keys.

Prince Canuma

60,943 次观看 • 3 个月前

Qwen3-30B-A3B-Instruct-2507 Qwen is now available in anycoder for vibe coding

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AK

50,084 次观看 • 10 个月前

Thanks for the mention TBPN! We're working on making this run at >40 tok/sec on 2 Mac Studios (the full, unquantized Kimi K2.5). I'm already running Kimi K2.5 myself locally with Claude Code and it's impressive - very close to Opus level.

Thanks for the mention TBPN! We're working on making this run at >40 tok/sec on 2 Mac Studios (the full, unquantized Kimi K2.5). I'm already running Kimi K2.5 myself locally with Claude Code and it's impressive - very close to Opus level.

Alex Cheema

40,471 次观看 • 4 个月前

I did it! It works! Using GLM-4.7-4bit with mlx_lm.server and opencode to fix real code locally! 🔥 Here single M3 Ultra 512GB, nex step phase will be 2 using Tensor Parallelism and then apply same changes to exo. Prefill is slow on a single machine, but generation is good.

I did it! It works! Using GLM-4.7-4bit with mlx_lm.server and opencode to fix real code locally! 🔥 Here single M3 Ultra 512GB, nex step phase will be 2 using Tensor Parallelism and then apply same changes to exo. Prefill is slow on a single machine, but generation is good.

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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.

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Max Toscano

21,539 次观看 • 1 年前

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They are not there, but if you have a beefy mac, Qwen3-Coder-Next has some applications due to its speed and decent tool calling capabilities. This video is in real time. (Also plenty of local models for STT etc.). They are not to be completely dismissed!

Armin Ronacher ⇌

36,102 次观看 • 2 个月前

I seriously cannot believe this is a 0.6B LLM! 🤯 Qwen just released Qwen3, a series of hybrid reasoning models that allow you to control how much "thinking" the model does for a given task. They can even run locally in your browser on WebGPU with 🤗 Transformers.js!

I seriously cannot believe this is a 0.6B LLM! 🤯 Qwen just released Qwen3, a series of hybrid reasoning models that allow you to control how much "thinking" the model does for a given task. They can even run locally in your browser on WebGPU with 🤗 Transformers.js!

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