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Update README with token match rate on text backbone #51

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Update README with token match rate on text backbone
sdeeptan-aws Feb 19, 2026
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Removing internal names
sdeeptan-aws Feb 26, 2026
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21 changes: 13 additions & 8 deletions contrib/models/Ovis2.5-9B/README.md
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Expand Up @@ -12,11 +12,13 @@ NeuronX Distributed Inference implementation of Ovis2.5 9B.

## Architecture Details

- **Layers:** Check model config
- **Hidden Size:** Check model config
- **Attention Heads:** Check model config
- **Vocabulary:** Check model config
- **Max Position Embeddings:** Check model config
- **Type:** Multimodal (vision-language) model — text backbone validated only
- **Text Backbone:** Decoder-only transformer
- **Layers:** See model config
- **Hidden Size:** See model config
- **Attention Heads:** See model config
- **Vocabulary:** See model config
- **Max Position Embeddings:** See model config

## Validation Results

Expand All @@ -28,7 +30,7 @@ NeuronX Distributed Inference implementation of Ovis2.5 9B.
| 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 | 32.92ms (threshold: 100ms) |
| Throughput | ✅ PASS | 30.03 tok/s (threshold: 10 tok/s) |

Expand All @@ -39,9 +41,12 @@ NeuronX Distributed Inference implementation of Ovis2.5 9B.
| TTFT (P50) | 32.92ms |
| Throughput | 30.03 tokens/s |


**Status:** ✅ VALIDATED

### Multimodal Validation Notes

Ovis2.5 is a vision-language model. 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. 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