---
language:
- en
license: apache-2.0
tags:
- text-generation
- multimodal
- chat
- vision
- audio
- retrieval
- text-generation-inference
pipeline_tag: text-generation
library_name: transformers
---

# ZeusMM

**ZeusMM** is a decoder-only multimodal conversational LM with:
- Role-aware RoPE + KV cache
- Dual fusion (Cross-Attn + FiLM) with a learned router
- Modality-aware MoE-MLP
- Drop-in vision (CLIP), audio (Wav2Vec2), retrieval (any HF encoder)

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "Wonder-Griffin/ZeusMM"
tok = AutoTokenizer.from_pretrained(repo, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(repo, trust_remote_code=True)
prompt = "<|system|>You are Zeus.<|end|>\n<|user|>Say hi.<|end|>\n<|assistant|>"
x = tok(prompt, return_tensors="pt")
y = model.generate(**x, max_new_tokens=60, do_sample=True, top_p=0.9, temperature=0.9)
print(tok.decode(y[0], skip_special_tokens=False))



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