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8.2
TFLOPS
Indexing
Indexing
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Amazing-Productions's profile picture
1 follower
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21 following
https://indexx.dev
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AI & ML interests
I am interested in on-device LLMs.
Recent Activity
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1 day ago
We're announcing BananaMind 2 Micro, our smallest model in the BananaMind 2 model family. This model is not released yet, training has not started yet. It uses only 2.9M parameters, while being overtrained on 75B tokens to get the maximum intelligence per parameter. The key changes are: No more AdamW, the model will use the Muon optimizer offering up to 2x faster convergence and higher lr. LR goes to 2.2e-2. We're adding the XSA refresh gate from the TX4 architecture into our own. Training will start on August 3, release date is estimated to be August 4-6. On August 3 we will also release our Public Preview of BananaMind 2 Pro. Follow us to know when our models release https://huggingface.co/BananaMind @Banaxi-Tech
reacted
to
Banaxi-Tech
's
post
with 🤗
1 day ago
We're announcing BananaMind 2 Micro, our smallest model in the BananaMind 2 model family. This model is not released yet, training has not started yet. It uses only 2.9M parameters, while being overtrained on 75B tokens to get the maximum intelligence per parameter. The key changes are: No more AdamW, the model will use the Muon optimizer offering up to 2x faster convergence and higher lr. LR goes to 2.2e-2. We're adding the XSA refresh gate from the TX4 architecture into our own. Training will start on August 3, release date is estimated to be August 4-6. On August 3 we will also release our Public Preview of BananaMind 2 Pro. Follow us to know when our models release https://huggingface.co/BananaMind @Banaxi-Tech
reacted
to
Banaxi-Tech
's
post
with 🔥
1 day ago
We're announcing BananaMind 2 Micro, our smallest model in the BananaMind 2 model family. This model is not released yet, training has not started yet. It uses only 2.9M parameters, while being overtrained on 75B tokens to get the maximum intelligence per parameter. The key changes are: No more AdamW, the model will use the Muon optimizer offering up to 2x faster convergence and higher lr. LR goes to 2.2e-2. We're adding the XSA refresh gate from the TX4 architecture into our own. Training will start on August 3, release date is estimated to be August 4-6. On August 3 we will also release our Public Preview of BananaMind 2 Pro. Follow us to know when our models release https://huggingface.co/BananaMind @Banaxi-Tech
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a model
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