🎹 benchmarking models for everyone
simonko
simonko912
AI & ML interests
guy with low end hardware learning about llm's and learning about finetuning
my hardware:
intel xeon E5v4
32gb ddr4 ram
amd rx 5700 8gb vram (Hf allows to set from 6600 lol)
512gb ssd
queueing models for mradermacher
contact:
dc: simonko_11015
github: Simonko-912
Recent Activity
repliedto Banaxi-Tech's post about 10 hours 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
repliedto Banaxi-Tech's post about 10 hours 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
repliedto Banaxi-Tech's post about 12 hours 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