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Qwen3-Coder-Next

qwen.ai

221–230 of 443 posts

Re: Qwen3-Coder-Next

#221

Earlier quoted context omitted.

So, if I rent out my bike to you for an hour a day for really cheap money and I do so a 50 more times to 50 others, so that my bike is oversubscribed and you and others don't get your hours, that's OK because it is just capacity planning on my side and widely accepted? Good to know.

As others pointed out, every business that sells capacity does this, including your ISP provider. They could, of course, price your 10GB plan under the assumption that you would max out your connection 24 hours a day. I fail to see how this would be advantageous to the vast majority of the customers.

Well, if the service price were in any way tied to the cost of transmitting bytes, then even the 24hr scenarios would likely see a reduction in cost to customers. Instead we have overage fees and data caps to help with "network congestion", which tells us all how little they think of their customers.

Re: Qwen3-Coder-Next

#222
post #41

I kind of lost interest in local models. Then Anthropic started saying I’m not allowed to use my Claude Code subscription with my preferred tools and it reminded me why we need to support open tools and models. I’ve cancelled my CC subscription, I’m not paying to support anticompetitive behaviour.

> Then Anthropic started saying I’m not allowed to use my Claude Code subscription with my preferred tools To be clear, since this confuses a lot of people in every thread: Anthropic will let you use their API with any coding tools you want. You just have to go through the public API and pay the same rate as everyone else. They have not "blocked" or "banned" any coding tools from using their API, even though a lot of…

The anticompetitive part is setting a much lower price for typical usage of Claude Code vs. typical usage of another CLI dev tool.

Re: Qwen3-Coder-Next

#223
post #3

This GGUF is 48.4GB - https://huggingface.co/Qwen/Qwen3-Coder-Next-GGUF/tree/main/... - which should be usable on higher end laptops. I still haven't experienced a local model that fits on my 64GB MacBook Pro and can run a coding agent like Codex CLI or Claude code well enough to be useful. Maybe this will be the one? This Unsloth guide from a sibling comment suggests it might be: https://unsloth.ai/docs/models/qwen3…

They run fairly well for me on my 128GB Framework Desktop.

what do you run this on if I may ask? lmstudio, ollama, lama? which cli?

Re: Qwen3-Coder-Next

#224

Earlier quoted context omitted.

How did this work? The ban, I mean. Did you just wake up to find out an email and that your creds no longer worked? Were you doing things to sub-process out to the Claude Code CLI or something else?

I left a sibling comment detailing the technical side of things. I used the `Bun.spawn` API with the `terminal` key to give CC a PTY and mirrored it to my phone with xterm.js. I used SSE to stream CC data to xterm.js and a regular request to send commands out from my phone. In my mind, this is no different than using CC via SSH from my phone - I was still bound by the same limits and wasn't trying to bypass them, Ant…

> Anthropic is entitled to their different opinion of course.

It’d be cool if Anthropic were bound by their terms of use that you had to sign. Of course, they may well be broad enough to fire customers at will. Not that I suggest you expend any more time fighting this behemoth of a company though. Just sad that this is the state of the art.

Re: Qwen3-Coder-Next

#225

We are getting there, as a next step please release something to outperform Opus 4.5 and GPT 5.2 in coding tasks

By the time that happens, Opus 5 and GPT-5.5 will be out. At that point will a GPT-5.2 tier open-weights model feel "good enough"? Based on my experience with frontier models, once you get a taste of the latest and greatest it's very hard to go back to a less capable model, even if that less capable model would have been SOTA 9 months ago.

I used to say that Sonnet 4.5 was all I would ever need, but now I exclusively use Opus...

Re: Qwen3-Coder-Next

#226

Earlier quoted context omitted.

I left a sibling comment detailing the technical side of things. I used the `Bun.spawn` API with the `terminal` key to give CC a PTY and mirrored it to my phone with xterm.js. I used SSE to stream CC data to xterm.js and a regular request to send commands out from my phone. In my mind, this is no different than using CC via SSH from my phone - I was still bound by the same limits and wasn't trying to bypass them, Ant…

> Anthropic is entitled to their different opinion of course. It’d be cool if Anthropic were bound by their terms of use that you had to sign. Of course, they may well be broad enough to fire customers at will. Not that I suggest you expend any more time fighting this behemoth of a company though. Just sad that this is the state of the art.

It sucks and I wish it were different, but it is not so different from trying to get support at Meta or Google. If I was an AI grifter I could probably just DM a person on Twitter and get this sorted, but as a paying customer, it's wisest to go where they actually want my money.

Re: Qwen3-Coder-Next

#227
post #192

For someone who is very out of the loop with these AI models, can someone explain what I can actually run on my 3080ti (12G)? Is this something like that or is this still too big; is there anything remotely useful runnable with my GPU? I have 64G RAM if that helps (?).

This model does not fit in 12G of VRAM - even the smallest quant is unlikely to fit. However, portions can be offloaded to regular RAM / CPU with a performance hit.

I would recommend trying llama.cpp's llama-server with models of increasing size until you hit the best quality / speed tradeoff with your hardware that you're willing to accept.

The Unsloth guides are a great place to start: https://unsloth.ai/docs/models/qwen3-coder-next#llama.cpp-tu...

Re: Qwen3-Coder-Next

#228
post #222

Earlier quoted context omitted.

> Then Anthropic started saying I’m not allowed to use my Claude Code subscription with my preferred tools To be clear, since this confuses a lot of people in every thread: Anthropic will let you use their API with any coding tools you want. You just have to go through the public API and pay the same rate as everyone else. They have not "blocked" or "banned" any coding tools from using their API, even though a lot of…

The anticompetitive part is setting a much lower price for typical usage of Claude Code vs. typical usage of another CLI dev tool.

[deleted]

Re: Qwen3-Coder-Next

#229

Earlier quoted context omitted.

Claude Opus 4.5 by far is the most capable development model. I've been using it mainly via Claude Code, and with Cursor. I agree anticompetitive behavior is bad, but the productivity gains to be had by using Anthropic models and tools are undeniable. Eventually the open tools and models will catch up, so I'm all for using them locally as well, especially if sensitive data or IP is involved.

I'd encourage you to try the -codex family with the highest reasoning. I can't comment on Opus in CC because I've never bit the bullet and paid the subscription, but I have worked my way up to the $200/month Cursor subscription and the 5.2 codex models blow Opus out of the water in my experience (obviously very subjective). I arrived at making plans with Opus and then implementing with the OpenAI model. The speed of…

Thanks, I'll try those out. I've used Codex CLI itself on a few small projects as well, and fired it up on a feature branch where I had it implement the same feature that Claude Code did (they didn't see each other's implementations). For that specific case, the implementation Codex produced was simpler, and better for the immediate requirements. However, Claude's more abstracted solution may have held up better to changing requirements. Codex feels more reserved than Claude Code, which can be good or bad depending on the task.

Re: Qwen3-Coder-Next

#230
post #192

For someone who is very out of the loop with these AI models, can someone explain what I can actually run on my 3080ti (12G)? Is this something like that or is this still too big; is there anything remotely useful runnable with my GPU? I have 64G RAM if that helps (?).

This model is exactly what you’d want for your resources. GPU for prompt processing, ram for model weights and context length, and it being MoE makes it fairly zippy. Q4 is decent; Q5-6 is even better, assuming you can spare the resources. Going past q6 goes into heavily diminishing resources.
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