Instructions to use Mattimax/DAC6.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Mattimax/DAC6.5 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="Mattimax/DAC6.5")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("Mattimax/DAC6.5", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Mattimax/DAC6.5 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Mattimax/DAC6.5"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Mattimax/DAC6.5",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Mattimax/DAC6.5

SGLang

How to use Mattimax/DAC6.5 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Mattimax/DAC6.5" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Mattimax/DAC6.5",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Mattimax/DAC6.5" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Mattimax/DAC6.5",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use Mattimax/DAC6.5 with Docker Model Runner:
```
docker model run hf.co/Mattimax/DAC6.5
```

Mattimax commited on Sep 6

Commit

ab79526

verified ·

1 Parent(s): 579e3b4

Update README.md

Browse files

Files changed (1) hide show

README.md +55 -0

README.md CHANGED Viewed

@@ -1,3 +1,58 @@
 ---
 license: mit
 ---

 ---
 license: mit
+language:
+- it
+- en
+library_name: transformers
+tags:
+- DAC
+- M.INC.
+- dac6
+- DAC6.5
+- vl
+- dac6_vl
+pipeline_tag: image-text-to-text
 ---
+# DAC6.5 — M.INC. Architecture Series
+<p align="center">
+  <img src="DAC6.5_Logo/DAC6.5_Logo.jpg" alt="DAC6 Logo" width="800px"/>
+</p>
+**M.INC.** is proud to present **DAC6.5**, the flagship release introducing our custom, proprietary multimodal architecture. Designed to bring high-performance vision-language capabilities to small-footprint and edge compute environments, DAC6.5 seamlessly unifies perception and reasoning into a single cohesive ecosystem.
+DAC6.5 couples the **LFM2.5-230M** language backbone with the high-resolution **SigLIP2** vision encoder through a custom-trained projection module, delivering strong zero-shot image understanding, rapid inference, and minimal memory overhead.
+---
+## Model Architecture & Technical Overview
+Unlike fragmented pipelines requiring complex multi-stage orchestration, DAC6.5 is engineered as an integrated, end-to-end multimodal system:
+* **Language Backbone (`LFM2.5-230M`):** Ultra-lightweight text engine fine-tuned for high throughput and low-latency response generation.
+* **Vision Encoder (`SigLIP2`):** State-of-the-art visual feature extraction, capturing deep spatial and semantic details from input images.
+* **Proprietary Projector:** A dedicated cross-modal projection layer trained from scratch by M.INC. to map visual representation spaces directly into the language model's embedding space.
+---
+## Repository Structure & Core Artifacts
+This repository contains the complete unified weights, configuration schemas, and quantization variants required for deployment:
+### Weights & Configurations
+* `model.safetensors` — Unified model weights stored with isolated, clean namespaces (`language_model.*`, `vision_encoder.*`, and `projector.*`).
+* `config.json` — Core DAC6.5 architecture specifications and inter-component routing.
+* `tokenizer.json`, `tokenizer_config.json`, `chat_template.jinja` — Complete tokenizer configuration and standard chat templates for the LFM engine.
+* `vision_config.json`, `processor_config.json` — Preprocessing pipelines and parameter definitions for the SigLIP2 vision encoder.
+---
+## ☕ Support my research
+[![Buy Me a Coffee](https://img.shields.io/badge/Support-Buy%20Me%20a%20Coffee-FFDD00?style=for-the-badge&logo=buymeacoffee&logoColor=black)](https://www.buymeacoffee.com/marzomattye)
+---
+## About M.INC.
+**M.INC.** focuses on research and development of custom neural architectures, efficient language models, and accessible multimodal systems. DAC6.5 represents the first milestone in our custom architecture series, establishing a new baseline for compact, locally deployable artificial intelligence.