gemma-4-E4B-it-heretic-mlx-mxfp8

Converted from coder3101/gemma-4-E4B-it-heretic with mlx_vlm.convert.

• Quantization: mxfp8
• q_bits: 8
• q_mode: mxfp8
• Source type: Gemma 4 multimodal (Gemma4ForConditionalGeneration)
• Converter env: /Users/vanch/.cache/lm-studio/.venvs/gemma4-mlx
• Validation date: 2026-04-26

Validation Summary

• Status: passed local text and vision smoke tests
• Vision metadata present: processor_config.json and preprocessor_config.json
• Peak memory across sampled tests: 9.593 GB

Validation Matrix

Case	Output	Prompt TPS	Generation TPS	Peak Memory
Text: one-sentence model description	Gemma 4 is a large language model developed by Google DeepMind.	150.998	62.448	8.885 GB
Text: two-bullet structured answer	* The model belongs to the Gemma family of lightweight, open-weights models. * It possesses a multimodal capability, meaning it can process and understand different types of input, such as text and potentially images or audio depending on the specific version.	171.767	60.052	8.897 GB
Vision: red image color identification	The image is red.	562.027	66.977	9.593 GB
Vision: blue image color identification	The image is blue.	558.614	67.212	9.593 GB

Local Artifacts

• Full verification logs: /Users/vanch/models/gemma4-e4b-heretic-full-verify/mxfp8-*.log