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Update README with token match rate on text backbone #53

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Update README with token match rate on text backbone
sdeeptan-aws Feb 19, 2026
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Removing local reference
sdeeptan-aws Feb 23, 2026
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sdeeptan-aws Feb 26, 2026
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11 changes: 8 additions & 3 deletions contrib/models/Qwen2.5-Omni-7B/README.md
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Expand Up @@ -12,6 +12,8 @@ NeuronX Distributed Inference implementation of Qwen2.5 Omni 7B.

## Architecture Details

- **Type:** Multimodal (omni — vision, audio, text) model — text backbone validated only
- **Text Backbone:** Decoder-only transformer (Qwen2-based)
- **Layers:** Check model config
- **Hidden Size:** Check model config
- **Attention Heads:** Check model config
Expand All @@ -28,7 +30,7 @@ NeuronX Distributed Inference implementation of Qwen2.5 Omni 7B.
| Test | Status | Result |
|------|--------|--------|
| Smoke Test | ✅ PASS | Model loads successfully |
| Token Matching | ⚠️ N/A | **0.0% match** |
| Token Matching | ✅ PASS | **100% match** (text backbone) |
| TTFT (P50) | ✅ PASS | 50.15ms (threshold: 100ms) |
| Throughput | ✅ PASS | 19.82 tok/s (threshold: 10 tok/s) |

Expand All @@ -39,9 +41,12 @@ NeuronX Distributed Inference implementation of Qwen2.5 Omni 7B.
| TTFT (P50) | 50.15ms |
| Throughput | 19.82 tokens/s |


**Status:** ✅ VALIDATED

### Multimodal Validation Notes

Qwen2.5-Omni is a multimodal model supporting vision, audio, and text. The NeuronX port validates the text backbone only. `AutoModelForCausalLM` does not work for multimodal models — the specific text backbone class must be used to load the HF reference for token matching. Some multimodal configs may be missing attributes expected by the text backbone (e.g., `output_attentions`) and require config patching. With the correct text backbone extraction, the model achieves 100% token match.

## Usage

```python
Expand Down Expand Up @@ -106,6 +111,6 @@ python3 test/integration/test_model.py

## Maintainer

Neuroboros Team - Annapurna Labs
Annapurna Labs

**Last Updated:** 2026-01-29
1 change: 0 additions & 1 deletion contrib/models/Qwen2.5-Omni-7B/src/modeling_qwen2_5_omni.py
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Expand Up @@ -141,7 +141,6 @@ def from_pretrained(cls, model_path: str, **kwargs) -> "Qwen2_5OmniInferenceConf
if neuron_config is None:
possible_paths = [
os.path.join(model_path, "neuron_config.json"),
"./agent_artifacts/data/qwen2_5_omni_compiled/neuron_config.json", # Compiled directory
"neuron_config.json", # Current directory
]

Expand Down