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Hugging Face (Twitter)
RT @ting_: 🤗 GLM-4.6 is on @huggingface API! it's supported by @novita_labs
👇Tested it with my old prompt, building a pixel art pilot game, result is impressive!
FYI what's good about the model:
> 200K context window
> Top-tier reasoning & tool use (91.6 on BFCL v2!)
> Killer coding skills
> More agentic & great for agent products
> Human-like tone, perfect for role-play!
RT @ting_: 🤗 GLM-4.6 is on @huggingface API! it's supported by @novita_labs
👇Tested it with my old prompt, building a pixel art pilot game, result is impressive!
FYI what's good about the model:
> 200K context window
> Top-tier reasoning & tool use (91.6 on BFCL v2!)
> Killer coding skills
> More agentic & great for agent products
> Human-like tone, perfect for role-play!
Hugging Face (Twitter)
RT @nic_o_martin: Looks like my first day at @huggingface will mainly consist of traveling. Soon in Stockholm and ready for @nordicjs 😍
RT @nic_o_martin: Looks like my first day at @huggingface will mainly consist of traveling. Soon in Stockholm and ready for @nordicjs 😍
Hugging Face (Twitter)
RT @LucSGeorges: How does picklescan work? 🤓
Well first we need to understand why pickle is dangerous: at its core a pickle is a sequence of opcodes interpreted by a form of virtual machine — already sounds fishy, doesn’t it?
RT @LucSGeorges: How does picklescan work? 🤓
Well first we need to understand why pickle is dangerous: at its core a pickle is a sequence of opcodes interpreted by a form of virtual machine — already sounds fishy, doesn’t it?
Hugging Face (Twitter)
RT @TencentHunyuan: We just hit the top of the Hugging Face trend list with two models! 🏆
🔹HunyuanImage 3.0: The largest and most powerful open-source text-to-image model to date with over 80 billion parameters. The performance is comparable to industry flagship closed-source models.
🔹Hunyuan3D-Part: This open-source part-level 3D shape generation model packing key features like P3-SAM, the industry's first native 3D part segmentation, and X-Part, which delivers SOTA controllability and shape quality.
Stop waiting and start building with these powerful models—both are FREE to deploy now!
Try them now:
HunyuanImage 3.0: hunyuan.tencent.com/image
Hunyuan3D-Part: https://3d.hunyuan.tencent.com/studio
RT @TencentHunyuan: We just hit the top of the Hugging Face trend list with two models! 🏆
🔹HunyuanImage 3.0: The largest and most powerful open-source text-to-image model to date with over 80 billion parameters. The performance is comparable to industry flagship closed-source models.
🔹Hunyuan3D-Part: This open-source part-level 3D shape generation model packing key features like P3-SAM, the industry's first native 3D part segmentation, and X-Part, which delivers SOTA controllability and shape quality.
Stop waiting and start building with these powerful models—both are FREE to deploy now!
Try them now:
HunyuanImage 3.0: hunyuan.tencent.com/image
Hunyuan3D-Part: https://3d.hunyuan.tencent.com/studio
Hugging Face (Twitter)
RT @abidlabs: If you are a software engineer who is currently using closed models, what's the biggest obstacle to using open-source models instead?
RT @abidlabs: If you are a software engineer who is currently using closed models, what's the biggest obstacle to using open-source models instead?
Hugging Face (Twitter)
RT @ClementDelangue: Time to fine-tune your own models instead of relying on blackbox closed-source models!
Not doing this is like building a software company and not writing your own software.
In the time of reinforcement learning, it's become much easier and cheaper than it used to thanks to great open-source models & more needed than ever to start your AI learning curve, differentiate yourself, and create better products for your users and customers.
Great to see @thinkymachines contributing to this trend! In my opinion, even if it's been slower to happen than we expected, long-term that's where most of the value will be. https://twitter.com/thinkymachines/status/1973447428977336578#m
RT @ClementDelangue: Time to fine-tune your own models instead of relying on blackbox closed-source models!
Not doing this is like building a software company and not writing your own software.
In the time of reinforcement learning, it's become much easier and cheaper than it used to thanks to great open-source models & more needed than ever to start your AI learning curve, differentiate yourself, and create better products for your users and customers.
Great to see @thinkymachines contributing to this trend! In my opinion, even if it's been slower to happen than we expected, long-term that's where most of the value will be. https://twitter.com/thinkymachines/status/1973447428977336578#m
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Hugging Face (Twitter)
RT @LysandreJik: ServiceNow-AI/Apriel-1.5-15b-Thinker running on a single GPU using `transformers serve` 🔥
great to have some very nice reasoning models that can run locally! next step, trying it on mps 👀
RT @LysandreJik: ServiceNow-AI/Apriel-1.5-15b-Thinker running on a single GPU using `transformers serve` 🔥
great to have some very nice reasoning models that can run locally! next step, trying it on mps 👀
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Hugging Face (Twitter)
RT @maximelabonne: LFM2-Audio just dropped!
It's a 1.5B model that understands and generates both text and audio
Inference 10x faster + quality on par with models 10x larger
Available today on @huggingface and our playground 🥳
RT @maximelabonne: LFM2-Audio just dropped!
It's a 1.5B model that understands and generates both text and audio
Inference 10x faster + quality on par with models 10x larger
Available today on @huggingface and our playground 🥳