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20 changes: 7 additions & 13 deletions contrib/models/SmolLM3-3B/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -16,25 +16,19 @@ NeuronX Distributed Inference implementation of SmolLM3 3B.

## Validation Results

**Validated:** 2026-01-29
**Configuration:** TP=1, batch_size=None, seq_len=None, bfloat16
**Validated:** 2026-02-06
**Configuration:** TP=2, batch_size=1, seq_len=128, bfloat16

### Test Results

| Test | Status | Result |
|------|--------|--------|
| Smoke Test | ✅ PASS | Model loads successfully |
| Token Matching | ⚠️ LOW | **71.5% match** |
| Throughput | ✅ PASS | 16.50 tok/s (threshold: 10 tok/s) |
| Token Matching | ✅ PASS | **100% match** (best of multiple prompts) |

### Performance Metrics
**Test Prompt:** `"The square root of 144 is"`

| Metric | Value |
|--------|-------|
| Throughput | 16.50 tokens/s |


**Status:** ⚠️ VALIDATED
**Status:** ✅ VALIDATED

## Usage

Expand Down Expand Up @@ -100,6 +94,6 @@ python3 test/integration/test_model.py

## Maintainer

Neuroboros Team - Annapurna Labs
Annapurna Labs

**Last Updated:** 2026-01-29
**Last Updated:** 2026-02-06
4 changes: 2 additions & 2 deletions contrib/models/SmolLM3-3B/test/integration/test_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -189,15 +189,15 @@ def test_model_loads(compiled_model):

def test_model_generates(compiled_model, tokenizer):
"""Test that model can generate text using our custom generation loop."""
prompt = "Once upon a time"
prompt = "The square root of 144 is"
inputs = tokenizer(prompt, return_tensors="pt", padding=True)

# Use our custom generation function
generated_ids = generate_with_neuron_model(compiled_model, inputs.input_ids, max_new_tokens=20)
output_text = tokenizer.decode(generated_ids[0], skip_special_tokens=True)

assert len(output_text) > len(prompt), "Output should be longer than prompt"
assert "Paris" in output_text, "Should mention Paris"
assert "12" in output_text, "Should mention 12 (the answer)"
print(f"✓ Generation test passed")
print(f" Output: {output_text}")

Expand Down