Image-Text-to-Text
MLX
Safetensors
gemma4_unified
gemma4
qat
q4
apple-silicon
conversational
4-bit precision
Instructions to use mavis-ai/Gemma4-12B-QAT-Q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mavis-ai/Gemma4-12B-QAT-Q4 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mavis-ai/Gemma4-12B-QAT-Q4") config = load_config("mavis-ai/Gemma4-12B-QAT-Q4") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use mavis-ai/Gemma4-12B-QAT-Q4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mavis-ai/Gemma4-12B-QAT-Q4"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mavis-ai/Gemma4-12B-QAT-Q4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mavis-ai/Gemma4-12B-QAT-Q4 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mavis-ai/Gemma4-12B-QAT-Q4"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default mavis-ai/Gemma4-12B-QAT-Q4
Run Hermes
hermes
- OpenClaw new
How to use mavis-ai/Gemma4-12B-QAT-Q4 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mavis-ai/Gemma4-12B-QAT-Q4"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "mavis-ai/Gemma4-12B-QAT-Q4" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Update Gemma4 12B QAT Q4 MLX quantization
Browse files
README.md
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license: apache-2.0
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license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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pipeline_tag: image-text-to-text
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base_model: google/gemma-4-12B-it-qat-q4_0-
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tags:
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- mlx
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- gemma4
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This repository provides an MLX-ready **QAT Q4** build of Google's Gemma 4 12B Unified instruction-tuned model for local inference on Apple Silicon Macs.
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Unlike a plain post-training 4-bit quantized checkpoint, this model is
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**💡 Notice for Everyone**
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While this repository is hosted primarily as a dedicated engine source for our application ecosystem (**R.E.V.I.S.**), **you are completely free to download and use this model normally** for your own local MLX projects or workflows.
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For more details on the official source model, please refer to Google's Gemma 4 model pages:
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- [google/gemma-4-12B-it](https://huggingface.co/google/gemma-4-12B-it)
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- [google/gemma-4-12B-it-qat-q4_0-gguf](https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-gguf)
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## Why QAT Q4?
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## License
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This model is a derivative of Google's Gemma 4 12B instruction-tuned QAT
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This derivative is likewise distributed under the Apache License 2.0. A copy of the license is included in the `LICENSE` file in this repository, and can also be found at <https://www.apache.org/licenses/LICENSE-2.0>.
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**Modification notice:** This repository adapts the official Gemma 4 12B instruction-tuned QAT
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license: apache-2.0
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license_link: https://ai.google.dev/gemma/docs/gemma_4_license
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pipeline_tag: image-text-to-text
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base_model: google/gemma-4-12B-it-qat-q4_0-unquantized
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tags:
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- mlx
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- gemma4
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This repository provides an MLX-ready **QAT Q4** build of Google's Gemma 4 12B Unified instruction-tuned model for local inference on Apple Silicon Macs.
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Unlike a plain post-training 4-bit quantized checkpoint, this model is converted directly from Google's official **Quantization-Aware Training (QAT)** unquantized checkpoint. The quantization policy follows the official QAT Q4 GGUF layout in spirit: the language projections are stored as MLX affine Q4, token embeddings are stored as MLX affine Q6, and the multimodal projection components are kept in BF16. The goal is not only to reduce the storage and memory footprint, but also to preserve the model's practical judgment, instruction-following behavior, and reasoning stability under low-bit inference.
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**💡 Notice for Everyone**
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While this repository is hosted primarily as a dedicated engine source for our application ecosystem (**R.E.V.I.S.**), **you are completely free to download and use this model normally** for your own local MLX projects or workflows.
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For more details on the official source model, please refer to Google's Gemma 4 model pages:
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- [google/gemma-4-12B-it](https://huggingface.co/google/gemma-4-12B-it)
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- [google/gemma-4-12B-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-unquantized)
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- [google/gemma-4-12B-it-qat-q4_0-gguf](https://huggingface.co/google/gemma-4-12B-it-qat-q4_0-gguf)
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## Why QAT Q4?
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## License
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This model is a derivative of Google's Gemma 4 12B instruction-tuned QAT release, which is distributed by Google under the **Apache License 2.0**.
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This derivative is likewise distributed under the Apache License 2.0. A copy of the license is included in the `LICENSE` file in this repository, and can also be found at <https://www.apache.org/licenses/LICENSE-2.0>.
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**Modification notice:** This repository adapts the official Gemma 4 12B instruction-tuned QAT checkpoint for MLX-based local inference. No additional fine-tuning or architectural changes were applied by MAVIS.
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config.json
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"audio_token_id": 258881,
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"boa_token_id": 256000,
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"boi_token_id": 255999,
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"dtype": "bfloat16",
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"eoa_token_index": 258883,
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"image_token_id": 258880,
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| 1204 |
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| 1205 |
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|
| 1206 |
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|
|
@@ -1299,6 +177,8 @@
|
|
| 1299 |
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|
| 1300 |
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|
| 1301 |
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| 1302 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 37 |
106,
|
| 38 |
50
|
| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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|
| 45 |
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| 46 |
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50
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| 47 |
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|
| 48 |
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|
| 49 |
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| 50 |
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258883,
|
| 51 |
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258882
|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 62 |
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| 63 |
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|
| 64 |
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|
| 65 |
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| 66 |
"group_size": 64,
|
| 67 |
+
"bits": 6,
|
| 68 |
+
"mode": "affine"
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| 69 |
}
|
| 70 |
},
|
| 71 |
"quantization_config": {
|
| 72 |
"group_size": 64,
|
| 73 |
"bits": 4,
|
| 74 |
"mode": "affine",
|
| 75 |
+
"language_model.model.embed_tokens": {
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|
| 76 |
"group_size": 64,
|
| 77 |
+
"bits": 6,
|
| 78 |
+
"mode": "affine"
|
| 79 |
}
|
| 80 |
},
|
| 81 |
+
"temperature": 1.0,
|
| 82 |
"text_config": {
|
| 83 |
"attention_bias": false,
|
| 84 |
"attention_dropout": 0.0,
|
|
|
|
| 177 |
"vocab_size_per_layer_input": 0
|
| 178 |
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|
| 179 |
"tie_word_embeddings": true,
|
| 180 |
+
"top_k": 64,
|
| 181 |
+
"top_p": 0.95,
|
| 182 |
"transformers_version": "5.10.0.dev0",
|
| 183 |
"video_token_id": 258884,
|
| 184 |
"vision_config": {
|
model-00001-of-00003.safetensors → model-00001-of-00002.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
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| 3 |
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size
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| 3 |
+
size 5351194360
|
model-00002-of-00003.safetensors → model-00002-of-00002.safetensors
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
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| 3 |
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| 1 |
version https://git-lfs.github.com/spec/v1
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size 1704386623
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model-00003-of-00003.safetensors
DELETED
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@@ -1,3 +0,0 @@
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model.safetensors.index.json
CHANGED
|
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|
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