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Update README and integration test for Qwen2-7B-Instruct #49

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e32a4f3
Update README and integration test for Qwen2-7B-Instruct
sdeeptan-aws Feb 19, 2026
fff760f
Removing internal names
sdeeptan-aws Feb 26, 2026
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20 changes: 7 additions & 13 deletions contrib/models/Qwen2-7B-Instruct/README.md
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Expand Up @@ -16,25 +16,19 @@ NeuronX Distributed Inference implementation of Qwen2 7B Instruct.

## Validation Results

**Validated:** 2026-01-29
**Configuration:** TP=2, batch_size=None, seq_len=None, None
**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 | **70.0% match** |
| Throughput | ✅ PASS | 13.83 tok/s (threshold: 10 tok/s) |
| Token Matching | ✅ PASS | **100% match** (best of multiple prompts) |

### Performance Metrics
**Test Prompt:** `"def fibonacci(n):"`

| Metric | Value |
|--------|-------|
| Throughput | 13.83 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/Qwen2-7B-Instruct/test/integration/test_model.py
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Expand Up @@ -188,15 +188,15 @@ 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 = "The capital of France is"
prompt = "def fibonacci(n):"
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 "return" in output_text or "if" in output_text, "Should contain Python code"
print(f"✓ Generation test passed")
print(f" Output: {output_text}")

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