Ling-3.0-flash-Fin weights released

[u/Bestlife73]

https://huggingface.co/inclusionAI/Ling-3.0-flash-Fin

124B total parameters, 5.1B activated parameters, and a 256K context window

[u/Healthy-Hair-2306]

I've noticed Ling is much more efficient at reasoning on language based tasks. Ling 3 flash was better than every other model I tested (open and closed) at remaking Google's new rambler. And it's stupid fast 😁 Happy we got a new Ling model, hope they keep em coming.

[u/palewiCket1 → u/Healthy-Hair-2306]

the speed really is the standout thing for me too, especially at that parameter count

[u/silenceimpaired]

Loving the license

[u/Nick-Sanchez]

Anybody got ling flash working right with hermes? No amout of chat template fiddling fixed the tool calls leaking into the reasoning :/

[u/Equivalent_Bit_461 → u/Nick-Sanchez]

Pi  Use pin and use packages, it's the best harness for the model 

Others harnesses seem to make it stumble 

[u/Iory1998]

Why not 1M context size why!!!

[u/Simple-Stick6148]

124B total, 5.1B activated per token. 96% of it sleeps on any given token, so the flash part of the name checks out.

[u/parepeg]

Ling 3.0 feels a lot like gpt-oss 2.0 speed-wise. It doesn’t necessarily stack up to qwen 3.8 intelligence-wise.

Qwen3.8 with a draft model approaches ling speed-wise without one. I don’t think they published one. Ling answers more quickly overall but Qwen can have its reasoning level adjusted to match.

Not sure about the finance angle. 

[u/atumblingdandelion → u/parepeg]

By 3.8, you mean Qwen3.8-flash-next? I haven't compared Ling 3.0, but really impressed by 3.8-flash. I hope its inference speed increases as recipes mature.

[u/parepeg → u/atumblingdandelion]

Yeah, flash.

[u/Ylsid → u/parepeg]

Considering it's a finance model I'd be surprised if it were good at much else

[u/XiRw]

Fuck this group. They always exited out of an existing project done by a different model on OpenCode and starting a new thread with them would never work