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https://github.com/huggingface/text-generation-inference.git
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e52be9bba2
Deepseek V2 is a MoE model from Deepseek. Relevant variations
compared to other models:
- Grouped top-K in expert selection.
- mscale in yarn is calculated using the `mscale` and `mscale_all_dim`
configuration options.
- `mscale_all_dim` is also used in scaling attention softmax.
- Permuting of the query/key representations before applying rotary
embeddings.
- Some projections cannot be sharded (`q_a_proj`, `kv_a_proj_with_mqa`).
So, we need weight loads that supports quantized weights. To this
end `{Weights,WeightLoader}.get_weight` was added.
- The query/key head dimensionality differs from that of the value,
so we need to pad during attention.
- Heads with size 192, needs an extension to our paged attention
fork and we need to ensure that the KV cache is allocated with the
correct size.
- Shared experts.
64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
import pytest
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@pytest.fixture(scope="module")
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def flash_deepseek_v2_handle(launcher):
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with launcher("deepseek-ai/DeepSeek-V2-Lite", num_shard=2) as handle:
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yield handle
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@pytest.fixture(scope="module")
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async def flash_deepseek_v2(flash_deepseek_v2_handle):
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await flash_deepseek_v2_handle.health(300)
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return flash_deepseek_v2_handle.client
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_deepseek_v2(flash_deepseek_v2, response_snapshot):
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response = await flash_deepseek_v2.generate(
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"Test request", max_new_tokens=10, decoder_input_details=True
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)
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assert response == response_snapshot
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_deepseek_v2_all_params(flash_deepseek_v2, response_snapshot):
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response = await flash_deepseek_v2.generate(
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"Test request",
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max_new_tokens=10,
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repetition_penalty=1.2,
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return_full_text=True,
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stop_sequences=["test"],
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temperature=0.5,
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top_p=0.9,
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top_k=10,
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truncate=5,
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typical_p=0.9,
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watermark=True,
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decoder_input_details=True,
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seed=0,
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)
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assert response == response_snapshot
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@pytest.mark.release
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@pytest.mark.asyncio
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@pytest.mark.private
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async def test_flash_deepseek_v2_load(
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flash_deepseek_v2, generate_load, response_snapshot
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):
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responses = await generate_load(
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flash_deepseek_v2, "Test request", max_new_tokens=10, n=4
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)
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assert len(responses) == 4
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assert all([r.generated_text == responses[0].generated_text for r in responses])
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assert responses == response_snapshot
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