microsoft/harrier-oss-v1-270m
Feature Extraction • 0.3B • Updated • 135k • • 175
🔄 In a Training Loop
AmirMuhamamd Nateghi
AM-Nateghi
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liked a model about 6 hours ago
microsoft/harrier-oss-v1-270m repliedto Banaxi-Tech's post about 7 hours ago
A new model is coming!
Its going to take a long time on my 5070 Ti so expect a release in ~1 month.
We think this model is going to be SOTA For its size.
Our Mini Version will be 25M Parameters and Pro with 140M.
The Pro version has a 3072 Context Window (Extensible to up to 6K with RoPE) And the Mini version has a context window of 4096 (Up to 8K with RoPE)
Meanwhile we are currently working on a Instruct Version of our BananaMind 1.5 Base.
The training will start this weekend
We are very exited to release it when its done! liked a dataset about 7 hours ago
CohereLabs/aya_collection_language_splitOrganizations
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replied to Banaxi-Tech's post about 7 hours ago
oh! i saw this for first time. what's it? a model like NanoBanana? what's it goal?
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Google's new DiffusionGemma can now run at 2000+ tokens/sec! ⚡
We made local DiffusionGemma inference 1.8× faster.
Run it on 18GB RAM via Unsloth Studio.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/models/diffusiongemma
We made local DiffusionGemma inference 1.8× faster.
Run it on 18GB RAM via Unsloth Studio.
GitHub: https://github.com/unslothai/unsloth
Guide: https://unsloth.ai/docs/models/diffusiongemma
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