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tykhomyrov/quantgemma-checkpoints
quantgemma-checkpoints is a machine learning model from tykhomyrov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Fine-tuned Gemma 3 (270M) checkpoints from the quantgemma project.
Downloads · 30 days
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Updated Mar 28, 2026
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From the Hugging Face model README
Fine-tuned Gemma 3 (270M) checkpoints from the quantgemma project.
Each checkpoint is a fine-tuned model saved after a training run. Folder names encode the key config.
{dataset}_bs{batch_size}_lr{lr}_steps{steps}/
| Path | val_loss | Dataset | Steps | Notes |
|---|---|---|---|---|
v1-5m-full_bs8_lr2e-4_steps8612/ | 1.6367 | v1-5m-full | 8612 | Best so far |
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(
"tykhomyrov/quantgemma-checkpoints",
subfolder="v1-5m-full_bs8_lr2e-4_steps8612",
local_files_only=False,
)