Quant Infos

Requires llama.cpp b4875
LLM ONLY (No vision support)
quants done with an importance matrix for improved quantization loss
Quantized ggufs & imatrix from hf bf16, through bf16. safetensors bf16 -> gguf bf16 -> quant for optimal quant loss.
Wide coverage of different gguf quant types from Q_8_0 down to IQ1_S (WIP)

Imatrix generated with this multi-purpose dataset by bartowski.

./imatrix -m $model_name-bf16.gguf -f calibration_datav3.txt -o $model_name.imatrix

GGUF

Model size

27B params

Architecture

gemma3

Hardware compatibility

1-bit

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for qwp4w3hyb/gemma-3-27b-it-iMat-GGUF

Base model

Finetuned

Quantized

(59)

this model