[Speculators][Speculative Decoding] Add Qwen Eagle3 Support (#21835)
Signed-off-by: Dipika Sikka <dipikasikka1@gmail.com>
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@@ -6,11 +6,21 @@ import torch
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@pytest.mark.parametrize(
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"model_path",
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[("nm-testing/SpeculatorLlama3-1-8B-Eagle3-converted-0717"),
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("nm-testing/SpeculatorLlama3-1-8B-Eagle3-converted-0717-quantized")])
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[("nm-testing/SpeculatorLlama3-1-8B-Eagle3-converted-0717-quantized")])
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def test_llama(vllm_runner, example_prompts, model_path):
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with vllm_runner(model_path, dtype=torch.bfloat16) as vllm_model:
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vllm_outputs = vllm_model.generate_greedy(example_prompts,
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max_tokens=20)
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print(vllm_outputs)
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assert vllm_outputs
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@pytest.mark.parametrize(
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"model_path",
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[("nm-testing/Speculator-Qwen3-8B-Eagle3-converted-071-quantized")])
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def test_qwen(vllm_runner, example_prompts, model_path):
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with vllm_runner(model_path, dtype=torch.bfloat16) as vllm_model:
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vllm_outputs = vllm_model.generate_greedy(example_prompts,
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max_tokens=20)
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print(vllm_outputs)
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assert vllm_outputs
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