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attention
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6a57861fca
feat: initial XPU support via intel_extension_for_pytorch (#571)
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7 mesi fa |
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common
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0613d91551
fix: kv head calculation with MPT GQA
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7 mesi fa |
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distributed
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017b42c517
chore: use fork as the default method for mp backend
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7 mesi fa |
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endpoints
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c05a45f22f
chore: minor updates to throughput benchmark and llm class
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7 mesi fa |
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engine
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3c7444c89b
fix: asyncio.run hangs in python < 3.12
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7 mesi fa |
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executor
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017b42c517
chore: use fork as the default method for mp backend
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7 mesi fa |
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kv_quant
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e42a78381a
feat: switch from pylint to ruff (#322)
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1 anno fa |
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lora
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42d2ee0f43
chore: better error logging for unsupported lora weights
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7 mesi fa |
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modeling
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025322ee5f
fix: fp8 kv cache for qwen2 models
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7 mesi fa |
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multimodal
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f2e94e2184
chore: minor llava cleanups in preparation for llava-next
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7 mesi fa |
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processing
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f9a10145d1
fix: v2 block manager + prefix caching
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7 mesi fa |
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quantization
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cd9ed8623b
fix: cuda version check for fp8 support in the cutlass kernels
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7 mesi fa |
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spec_decode
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313e6e1ec7
feat: add typical acceptance sampling
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7 mesi fa |
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task_handler
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6a57861fca
feat: initial XPU support via intel_extension_for_pytorch (#571)
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7 mesi fa |
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transformers_utils
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bba89fc6d3
chore: make the automatic rope scaling behave properly with rope_scaling arg, add rope theta
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7 mesi fa |
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__init__.py
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a07fc83bc8
chore: proper util for aphrodite version
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7 mesi fa |
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_custom_ops.py
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cd9ed8623b
fix: cuda version check for fp8 support in the cutlass kernels
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7 mesi fa |
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_ipex_ops.py
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6a57861fca
feat: initial XPU support via intel_extension_for_pytorch (#571)
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7 mesi fa |
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py.typed
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1c988a48b2
fix logging and add py.typed
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1 anno fa |
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version.py
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7e54c3916d
chore: factor out epilogues from cutlass kernels
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7 mesi fa |
AlpinDale
017b42c517
chore: use fork as the default method for mp backend