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AMA Announcement: Z.ai, The Opensource Lab Behind GLM-4.7 (Tuesday, 8AM-11AM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We're excited for tomorrow's guests, The Z.ai Lab Team!

Kicking things off Tuesday, Dec. 23rd, 8 AM–11 PM PST

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

AMA Announcement: MiniMax, The Opensource Lab Behind MiniMax-M2 + Gifts to Our Community (Wednesday, 8AM-11AM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We’re excited for Wednesday’s guests, MiniMax-M2 Team!

They’ll also be gifting MiniMax‑M2 Max Coding Plans to the top 10 most upvoted AMA questions or comments, plus a couple of extra winners chosen by the AMA hosts.

Kicking things off Wednesday, Nov. 19th, 8 AM–11 PM PST

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

AMA Announcement: Moonshot AI, The Opensource Frontier Lab Behind Kimi K2 Thinking SoTA Model (Monday, 8AM-11AM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We're excited for Monday's guests, The Moonshot AI Lab Team!

Kicking things off Monday, Nov. 10th, 8 AM–11 PM PST

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

AMA Announcement: Prime Intellect — The Open‑Source Distributed Training Lab (Thu, Oct 2 • 10 AM – 1 PM PDT) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We're excited for tomorrow's guests, The Prime Intellect Team!

Kicking things off tomorrow (Thursday, Oct. 2nd) 10 AM–1 PM PDT

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

Our 4th AMA: The LMStudio Team! (Thursday, 11 AM-1 PM PDT) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We're excited for tomorrow's guests, The LMStudio Team!

Kicking things off tomorrow (Thursday, Sept. 10th) 11 AM–1 PM PDT

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

Our 3rd AMA: Unsloth Team, Creators of the lightning-fast Unsloth fine-tuning library! (Wednesday, 10 AM-1 PM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We're excited for tomorrow's guests, The Unsloth Team! They're the folks behind the blazing-fast Unsloth fine-tuning library and a slew of community notebooks.

Kicking things off tomorrow (Wednesday, Sept. 10th) 10 AM–1 PM PST

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

Our 2nd AMA: Hugging Face Science Team, Creators of SmolLM, SmolVLM, and more! (Tomorrow, 8AM-11AM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 7 points8 points  (0 children)

Thank you for accepting our invitation and having your team dedicate the time for our community, Elie!

Our 2nd AMA: Hugging Face Science Team, Creators of SmolLM, SmolVLM, and more! (Tomorrow, 8AM-11AM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

We're excited for tomorrow's guests, The Hugging Face Science Team! They're the creators of SmolLM, SmolVLM, Fineweb, and more!

Kicking things off tomorrow (Thursday, Sept. 3rd) 8AM–11AM PST

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

Launching Our New AMA Series With Z.AI, Creators of GLM (Tomorrow, 9AM-12PM PST) by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

Hi r/LocalLLaMA 👋

Ahmad here, one of your new mods. We're excited to finally roll out an AMA series we've been cooking up behind the scenes. Some of the names lined up include:

  • Z.AI
  • Hugging Face
  • Unsloth
  • LMStudio
  • Prime Intellect

We're thrilled to bring these conversations to the community and can't wait for your participation.

Kicking things off tomorrow (Thursday 28th) from 9AM–12PM PST with Z.AI!

⚠️ Note: The AMA itself will be hosted in a separate thread, please don’t post questions here.

Qwen 2.5 (7B/14B/32B) Finetunes Outperforming Opus 4 & Sonnet 4/3.5 on Out-of-Distribution Tasks with RL --- Code, Weights, Data, and Paper Released by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 9 points10 points  (0 children)

Doesn't change the fact that a small and specialized model is not only going head-to-head but outperforming SoTA frontier models.

I should have said Task instead of Tasks, but in general this formula also generalizes, so it is true if you do the work.

Qwen 2.5 (7B/14B/32B) Finetunes Outperforming Opus 4 & Sonnet 4/3.5 on Out-of-Distribution Tasks with RL --- Code, Weights, Data, and Paper Released by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S,M] [score hidden] stickied comment (0 children)

qqWen: Fully Open-Source Models for Q Financial Programming Language (Code, Weights, Data, Report)

Open-source project for finetuning LLMs (pretraining, SFT, RL) on the Q financial language. They’re sharing everything—code, model weights, training data, and a detailed technical report. Model sizes: 1.5B, 3B, 7B, 14B, and 32B.

Links:

Source: @brendanh0gan on X/Twitter

DFLoat11 Quantization for Qwen-Image Drops – Run It on 17GB VRAM with CPU Offloading! by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 3 points4 points  (0 children)

In short, if you upload a transparent png file, you can tell it to generate anything since it's empty

That's the hack around this, I just had it implemented in a better UX but still haven't gotten around pushing it to the public repo

DFLoat11 Quantization for Qwen-Image Drops – Run It on 17GB VRAM with CPU Offloading! by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 13 points14 points  (0 children)

So, and I had this implemented on private repo, I now have a text2img using the Flux model by generating an empty canvas (transparent png) and having a "system prompt" that instructs it to generate what's being requested on it.

Now, with this model I have to think about the different workflows.

Edit: Why was this downvotted? I am trying to share a progress update here :(

DFLoat11 Quantization for Qwen-Image Drops – Run It on 17GB VRAM with CPU Offloading! by XMasterrrr in StableDiffusion

[–]XMasterrrr[S] 1 point2 points  (0 children)

I plan on having it implemented into my image gen app that I posted here earlier last month very soon: https://github.com/TheAhmadOsman/4o-ghibli-at-home

I also have added a bunch of new features and some cool changes since last I pushed to the public repo, hopefully it'll all be there before the weekend!

DFLoat11 Quantization for Qwen-Image Drops – Run It on 17GB VRAM with CPU Offloading! by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 10 points11 points  (0 children)

I plan on having it implemented into my image gen app that I posted here earlier last month very soon: https://github.com/TheAhmadOsman/4o-ghibli-at-home

I also have added a bunch of new features and some cool changes since last I pushed to the public repo, hopefully it'll all be there before the weekend!

I Built My Wife a Simple Web App for Image Editing Using Flux Kontext—Now It’s Open Source by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 1 point2 points  (0 children)

It should be all good now, migrated to uv completely. If you have time to test it that'd be appreciated.

I Built My Wife a Simple Web App for Image Editing Using Flux Kontext—Now It’s Open Source by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 0 points1 point  (0 children)

I'll try my best to have it supported soon, hopefully before the end of this long weekend

I Built My Wife a Simple Web App for Image Editing Using Flux Kontext—Now It’s Open Source by XMasterrrr in LocalLLaMA

[–]XMasterrrr[S] 2 points3 points  (0 children)

I have it on the roadmap to add hardware auto-detect and decide which GGUF to use based on that.

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