Downloads · 30 days
83
5% of all-time downloads
hfacesp/gemma-4-12b-it-uncensored-W4A16-AutoRound
gemma-4-12b-it-uncensored-W4A16-AutoRound is a machine learning model from hfacesp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
4-bit weight / 16-bit activation (W4A16) quantization of zaakirio/gemma-4-12b-it-uncensored.
Downloads · 30 days
83
5% of all-time downloads
All-time downloads
1.7K
Public
Parameters
2.5B
7.8 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors7.8 GB · 100%
How the weights are stored.
I321.4B · 55%
From the Hugging Face model README
4-bit weight / 16-bit activation (W4A16) quantization of
zaakirio/gemma-4-12b-it-uncensored.
google/gemma-4-12B-it — © Google, released under the Gemma license.zaakirio/gemma-4-12b-it-uncensoredv0.14.0)sym=Trueiters=0) — required for Gemma 4 numerical stabilityauto_round (quant_method=auto-round)quant_nontext_module=False) to preserve the encoder-free multimodal path.Encoder-free Gemma 4 Unified; serve with a vLLM build that supports
Gemma4UnifiedForConditionalGeneration. On Turing (Tesla T4) the Triton
attention TILE_SIZE patch (vllm-project/vllm#39018) is required.