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Inkling: Our Open-Weights Model

thinkingmachines.ai

271–280 of 324 posts

Re: Inkling: Our Open-Weights Model

#271
post #159

Here's a pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht...

I’m afraid you’re going to have to start randomizing your benchmarks somehow. I’m sure these models are trained on this problem by now.

It's not a benchmark, it's a meme

Re: Inkling: Our Open-Weights Model

#272

Is this the same model they are using for interaction models? https://thinkingmachines.ai/blog/interaction-models/

yes. At least they want to use it for that, I am not sure they already do.

(look under "multimodality" in the blog post: https://thinkingmachines.ai/news/introducing-inkling/)

Re: Inkling: Our Open-Weights Model

#273
post #104

What strikes me the most is just how many different tasks are involved in modern model design. It used to be the case that you come up with a new loss function, slight architecture changes, etc., run your train and eval loop, and publish the artifacts. Now, there’s so much work to do just to keep up. It’s the ultimate red queen race. All of the 500 steps involved, each of which is its own little optimization loop, is…

https://news.ycombinator.com/item?id=48892559

Re: Inkling: Our Open-Weights Model

#274
post #38

For a first model, and given it's open, I am gaining some faith in American Open research labs again... I couldn't test it since it's not on openrouter or something, but even if it's only as good as GLM5.1 that's more than good enough first attempt, I think. Perhaps a lot more labs will catch up to ballpark frontier esque level soon, I am all for more competition in any field.

it's on TrustedRouter https://trustedrouter.com/models/thinkingmachines/inkling-1m

[deleted]

Re: Inkling: Our Open-Weights Model

#275

Earlier quoted context omitted.

If they somehow make it approach Fable in capability, I’ll be quite surprised!

Not even GPT 5.6 approaches it, why would DeepSeek with less investment?

I prefer 5.6 Sol to Fable personally and I've used both extensively.

Re: Inkling: Our Open-Weights Model

#276
post #128

Earlier quoted context omitted.

It doesn't matter until it does. If the chinese government decides that open weight model releases are no longer allowed, that's a lot of companies that can't release new models. Same with the US government, etc. Having diversity is important.

However unlike the US models, China banning the release of new models would not break existing ones. Betting on US models only can get you locked out in just a few hours.

No, Open weights US models would not break as well - this isn't related to China or USA, it's about Open Weights and the fact that you can download the models.

Re: Inkling: Our Open-Weights Model

#277
post #119

Very nice, multi modal, largest open weight model that supports audio. Would be interesting to see how good the audio capability is. If you want to run locally, checkout https://github.com/danielhanchen/llama.cpp/tree/add-inkling https://unsloth.ai/docs/models/inkling https://huggingface.co/unsloth/inkling-GGUF https://huggingface.co/unsloth/inkling-NVFP4 This supposedly is better than KimiK2.7, as much hype as GLM5.…

Not to mention - it is American. This is the first competitive non-Chinese open weights model since what, Llama 3?

[dead]

Re: Inkling: Our Open-Weights Model

#278
post #110
post #75

Not compared against Gemma 4? That is a big omission.

Gemma 4 wouldn't really be a competitor to this. Gemma has the dense 31b model, but this has like 25x the total number of params.

sure, but I want gemma to be compared, whether it punches above the weight.

Re: Inkling: Our Open-Weights Model

#279
post #119

Very nice, multi modal, largest open weight model that supports audio. Would be interesting to see how good the audio capability is. If you want to run locally, checkout https://github.com/danielhanchen/llama.cpp/tree/add-inkling https://unsloth.ai/docs/models/inkling https://huggingface.co/unsloth/inkling-GGUF https://huggingface.co/unsloth/inkling-NVFP4 This supposedly is better than KimiK2.7, as much hype as GLM5.…

Not to mention - it is American. This is the first competitive non-Chinese open weights model since what, Llama 3?

There is also NVIDIA Nemotron 3 Ultra, with 561B parameters, which was released a month ago.

I do not know yet how smart it is, but the NVIDIA LLMs are very well optimized for fast inference (on their GPUs of course).

Previously that was the biggest American open-weights LLM.

Re: Inkling: Our Open-Weights Model

#280
post #254
post #51

Earlier quoted context omitted.

I have a similar bet. Looks like people don't like this idea. You got downvoted a lot.

Some stories recently that China has decided to reign in and manage it's model production landscape much more tightly.

Ah. Is it true? What do you think?
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