---
license: apache-2.0
language:
  - en
  - ru
tags:
  - transformers
  - safetensors
  - gemma3
  - image-text-to-text
  - creative
  - roleplay
  - conversational
  - text-generation-inference
  - endpoints_compatible
base_model:
  - OddTheGreat/Mars_27B_V.1
model_name: Majuli 3.1
pipeline_tag: image-text-to-text
---

# Majuli 3.1

**By Tripplet AI** (Tripplet Artificial General Intelligence Research Institute)

Majuli 3.1 is a powerful 27B parameter multimodal language model built on the Gemma 3 architecture, optimized for creative writing, roleplay, and general-purpose instruction following.

## Model Details

- **Parameters:** 28.8B
- **Architecture:** Gemma 3 (Gemma3ForConditionalGeneration)
- **Context Length:** 131,072 tokens
- **Hidden Size:** 5376
- **Layers:** 62
- **Attention Heads:** 32 (16 KV heads)
- **Vision Encoder:** SigLIP (896px, 27 layers)
- **Languages:** English, Russian
- **Precision:** bfloat16

## Key Features

- Long context support up to 128K tokens
- Multimodal capabilities (image + text)
- Hybrid attention with sliding window (1024) and full attention layers
- Optimized for creative and roleplay tasks

## Usage

```python
from transformers import AutoProcessor, AutoModelForImageTextToText

model = AutoModelForImageTextToText.from_pretrained("tripplet-research/majuli-3.1")
processor = AutoProcessor.from_pretrained("tripplet-research/majuli-3.1")

messages = [
    {"role": "user", "content": "Hello, tell me about yourself."}
]

inputs = processor.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True)
output = model.generate(**inputs, max_new_tokens=512)
print(processor.decode(output[0], skip_special_tokens=True))
```

## About Tripplet AI

Tripplet Artificial General Intelligence Research Institute is dedicated to advancing the frontiers of artificial general intelligence through open research and model development.

## License

Apache 2.0