LocalLLaMA/Qwen3.5-4B-graft16
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codelion
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codelion
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codelion
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codelion
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Post
114
I implemented the attention-free bidirectional encoder architecture Avey-B for Urdu a compact 24.87M-parameter language encoder built for efficient Urdu NLP research.
Original Avey-B paper: Avey-B (2602.15814)
Urdu model: mahwizzzz/avey-b-ur
Original Avey-B paper: Avey-B (2602.15814)
Urdu model: mahwizzzz/avey-b-ur
Elixpo
submitted a
paper to Daily Papers 11 days ago
Elixpo
authored a
paper 12 days ago
NihalGazi
authored a
paper 12 days ago
Aurelien-Morgan
posted an update 16 days ago
Post
2422
@retrain-pipelines execution engine is in perpetual evolution, with the aim to establish itself as SOTA, and for the long run.
However, we neglect no aspect of ML-Eng centricity.
If notebooks is where you like to do dev most,
we support you there 100% too.
Build crazy combos of inline tasks, deep parallel sub-DAG branches, nested asynchronous groups...
... the DAG renderer is undergoing an incremental upgrade
until the next one.
* starring toy tasks here. No ML has been hurt in this video 🙂
However, we neglect no aspect of ML-Eng centricity.
If notebooks is where you like to do dev most,
we support you there 100% too.
Build crazy combos of inline tasks, deep parallel sub-DAG branches, nested asynchronous groups...
... the DAG renderer is undergoing an incremental upgrade
until the next one.
* starring toy tasks here. No ML has been hurt in this video 🙂
leonardlin
posted an update about 1 month ago
Post
189
I've trained an uploaded a proper MTP head for Ornith 1.5:
- head only: shisa-ai/Ornith-1.5-35B-A3B-MTP-ONLY
- full BF16: shisa-ai/Ornith-1.5-35B-A3B-MTP
- FP8: shisa-ai/Ornith-1.5-35B-A3B-MTP-FP8
- head only: shisa-ai/Ornith-1.5-35B-A3B-MTP-ONLY
- full BF16: shisa-ai/Ornith-1.5-35B-A3B-MTP
- FP8: shisa-ai/Ornith-1.5-35B-A3B-MTP-FP8
Post
206
If you're into running models locally, this might be worth checking out.
https://local.ai/mahwiz/invite
https://local.ai/mahwiz/invite