Tarek Dakhran and GitHub
2ba719519d
model: LFM2-VL fixes ( #17577 )
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* Adjust to pytorch
* Add antialiasing upscale
* Increase number of patches to 1024
* Handle default marker insertion for LFM2
* Switch to flag
* Reformat
* Cuda implementation of antialias kernel
* Change placement in ops.cpp
* consistent float literals
* Pad only for LFM2
* Address PR feedback
* Rollback default marker placement changes
* Fallback to CPU implementation for antialias implementation of upscale
2025-11-30 21:57:31 +01:00
Tarek Dakhran and GitHub
aeaf8a36f0
llama : support LiquidAI LFM2-MoE hybrid model ( #16464 )
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* llama : support LiquidAI LFM2-MoE hybrid model
Add support for [LiquidAI/LFM2-8B-A1B](https://huggingface.co/LiquidAI/LFM2-8B-A1B ) model.
For more information about models, please read [the blog post](https://www.liquid.ai/company/news ).
[HF PR](https://github.com/huggingface/transformers/pull/41401 )
[GGUFs](https://huggingface.co/LiquidAI/LFM2-8B-A1B-GGUF )
* Do not use defaultdict
* Address PR feedback
2025-10-07 20:03:35 +02:00
Tarek Dakhran and GitHub
e288693669
readme : model : mtdm : lfm2 improvements ( #15476 )
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* Support untied embeddings
* Increase number of image tokens to 1024
* Add LFM2-VL to readme
* Actually use untied embeddings
2025-08-22 09:29:08 +02:00
Tarek Dakhran and GitHub
086cf81e88
llama : fix parallel processing for lfm2 ( #14705 )
2025-07-17 09:22:11 +02:00
Tarek Dakhran and GitHub
c31e60647d
tests : cover lfm2 cases in test_ssm_conv ( #14651 )
2025-07-12 19:10:14 +02:00
Tarek Dakhran and GitHub
67eade1bf9
docs : add LFM2 to models section ( #14650 )
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* readme : add LFM2 to models section
* fix copy paste...
2025-07-12 19:07:08 +02:00
