Add Majuli 3.1 model card

README.md

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+---
+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