Compare commits

...
9 Commits
Author SHA1 Message Date
Marut PandyaandGitHub d3ee3236c0 Merge pull request #118 from runpod-workers/up-wc
update worker-config
2024-10-01 11:23:02 -07:00
pandyamarut 0781e93054 update worker-config
Signed-off-by: pandyamarut <pandyamarut@gmail.com>
2024-10-01 11:21:27 -07:00
Marut PandyaandGitHub 251e807012 Update README.md 2024-10-01 11:17:30 -07:00
Marut PandyaandGitHub 29346769ed Merge pull request #117 from runpod-workers/up-0.6.2
update vllm
2024-10-01 11:05:40 -07:00
pandyamarut 1420091588 update vll
Signed-off-by: pandyamarut <pandyamarut@gmail.com>
2024-09-27 19:23:50 -07:00
Marut PandyaandGitHub d46adeaee9 Merge pull request #110 from runpod-workers/up-0.6.1
update vllm v0.6.1
2024-09-16 15:12:50 -07:00
pandyamarut 5c0dca44bd update
Signed-off-by: pandyamarut <pandyamarut@gmail.com>
2024-09-16 15:01:21 -07:00
pandyamarut cc301ac123 update
Signed-off-by: pandyamarut <pandyamarut@gmail.com>
2024-09-16 15:00:01 -07:00
pandyamarut 2ac6a0108f update vllm v0.6.0
Signed-off-by: pandyamarut <pandyamarut@gmail.com>
2024-09-16 14:55:40 -07:00
6 changed files with 142 additions and 117 deletions
+1 -1
View File
@@ -12,7 +12,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install --upgrade -r /requirements.txt python3 -m pip install --upgrade -r /requirements.txt
# Install vLLM (switching back to pip installs since issues that required building fork are fixed and space optimization is not as important since caching) and FlashInfer # Install vLLM (switching back to pip installs since issues that required building fork are fixed and space optimization is not as important since caching) and FlashInfer
RUN python3 -m pip install vllm==0.5.5 && \ RUN python3 -m pip install vllm==0.6.2 && \
python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3 python3 -m pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.3
# Setup for Option 2: Building the Image with the Model included # Setup for Option 2: Building the Image with the Model included
+3 -3
View File
@@ -18,9 +18,9 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
### 1. UI for Deploying vLLM Worker on RunPod console: ### 1. UI for Deploying vLLM Worker on RunPod console:
![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif) ![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif)
### 2. Worker vLLM `v1.3.1` with vLLM `0.5.5` now available under `stable` tags ### 2. Worker vLLM `v1.5.0` with vLLM `0.6.2` now available under `stable` tags
Update v1.3.1 is now available, use the image tag `runpod/worker-v1-vllm:v1.3.1stable-cuda12.1.0`. Update v1.5.0 is now available, use the image tag `runpod/worker-v1-vllm:v1.5.0stable-cuda12.1.0`.
### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released ### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released
Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more! Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more!
@@ -82,7 +82,7 @@ Below is a summary of the available RunPod Worker images, categorized by image s
| CUDA Version | Stable Image Tag | Development Image Tag | Note | | CUDA Version | Stable Image Tag | Development Image Tag | Note |
|--------------|-----------------------------------|-----------------------------------|----------------------------------------------------------------------| |--------------|-----------------------------------|-----------------------------------|----------------------------------------------------------------------|
| 12.1.0 | `runpod/worker-v1-vllm:v1.3.1stable-cuda12.1.0` | `runpod/worker-v1-vllm:v1.3.1dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. | | 12.1.0 | `runpod/worker-v1-vllm:v15.0stable-cuda12.1.0` | `runpod/worker-v1-vllm:v1.5.0dev-cuda12.1.0` | When creating an Endpoint, select CUDA Version 12.3, 12.2 and 12.1 in the filter. |
+3 -2
View File
@@ -1,10 +1,11 @@
ray ray
pandas pandas
pyarrow pyarrow
runpod==1.7.0 runpod==1.7.1
huggingface-hub huggingface-hub
packaging packaging
typing-extensions==4.7.1 typing-extensions==4.7.1
pydantic pydantic
pydantic-settings pydantic-settings
hf-transfer hf-transfer
transformers
+9 -6
View File
@@ -11,6 +11,7 @@ from vllm import AsyncLLMEngine
from vllm.entrypoints.openai.serving_chat import OpenAIServingChat from vllm.entrypoints.openai.serving_chat import OpenAIServingChat
from vllm.entrypoints.openai.serving_completion import OpenAIServingCompletion from vllm.entrypoints.openai.serving_completion import OpenAIServingCompletion
from vllm.entrypoints.openai.protocol import ChatCompletionRequest, CompletionRequest, ErrorResponse from vllm.entrypoints.openai.protocol import ChatCompletionRequest, CompletionRequest, ErrorResponse
from vllm.entrypoints.openai.serving_engine import BaseModelPath
from utils import DummyRequest, JobInput, BatchSize, create_error_response from utils import DummyRequest, JobInput, BatchSize, create_error_response
from constants import DEFAULT_MAX_CONCURRENCY, DEFAULT_BATCH_SIZE, DEFAULT_BATCH_SIZE_GROWTH_FACTOR, DEFAULT_MIN_BATCH_SIZE from constants import DEFAULT_MAX_CONCURRENCY, DEFAULT_BATCH_SIZE, DEFAULT_BATCH_SIZE_GROWTH_FACTOR, DEFAULT_MIN_BATCH_SIZE
@@ -121,14 +122,16 @@ class OpenAIvLLMEngine(vLLMEngine):
self.response_role = os.getenv("OPENAI_RESPONSE_ROLE") or "assistant" self.response_role = os.getenv("OPENAI_RESPONSE_ROLE") or "assistant"
asyncio.run(self._initialize_engines()) asyncio.run(self._initialize_engines())
self.raw_openai_output = bool(int(os.getenv("RAW_OPENAI_OUTPUT", 1))) self.raw_openai_output = bool(int(os.getenv("RAW_OPENAI_OUTPUT", 1)))
async def _initialize_engines(self): async def _initialize_engines(self):
self.model_config = await self.llm.get_model_config() self.model_config = await self.llm.get_model_config()
self.base_model_paths = [
BaseModelPath(name=self.engine_args.model, model_path=self.engine_args.model)
]
self.chat_engine = OpenAIServingChat( self.chat_engine = OpenAIServingChat(
async_engine_client=self.llm, engine_client=self.llm,
model_config=self.model_config, model_config=self.model_config,
served_model_names=[self.served_model_name], base_model_paths=self.base_model_paths,
response_role=self.response_role, response_role=self.response_role,
chat_template=self.tokenizer.tokenizer.chat_template, chat_template=self.tokenizer.tokenizer.chat_template,
lora_modules=None, lora_modules=None,
@@ -136,9 +139,9 @@ class OpenAIvLLMEngine(vLLMEngine):
request_logger=None request_logger=None
) )
self.completion_engine = OpenAIServingCompletion( self.completion_engine = OpenAIServingCompletion(
async_engine_client=self.llm, engine_client=self.llm,
model_config=self.model_config, model_config=self.model_config,
served_model_names=[self.served_model_name], base_model_paths=self.base_model_paths,
lora_modules=[], lora_modules=[],
prompt_adapters=None, prompt_adapters=None,
request_logger=None request_logger=None
+6 -1
View File
@@ -3,6 +3,7 @@ import logging
from http import HTTPStatus from http import HTTPStatus
from functools import wraps from functools import wraps
from time import time from time import time
from vllm.entrypoints.openai.protocol import RequestResponseMetadata
try: try:
from vllm.utils import random_uuid from vllm.utils import random_uuid
@@ -47,10 +48,14 @@ class JobInput:
self.min_batch_size = int(min_batch_size) if min_batch_size else None self.min_batch_size = int(min_batch_size) if min_batch_size else None
self.openai_route = job.get("openai_route") self.openai_route = job.get("openai_route")
self.openai_input = job.get("openai_input") self.openai_input = job.get("openai_input")
class DummyState:
def __init__(self):
self.request_metadata = None
class DummyRequest: class DummyRequest:
def __init__(self): def __init__(self):
self.headers = {} self.headers = {}
self.state = DummyState()
async def is_disconnected(self): async def is_disconnected(self):
return False return False
+120 -104
View File
@@ -1,5 +1,125 @@
{ {
"versions": { "versions": {
"0.6.2": {
"imageName": "runpod/worker-v1-vllm:v1.5.0stable-cuda12.1.0",
"minimumCudaVersion": "12.1",
"categories": [
{
"title": "LLM Settings",
"settings": [
"TOKENIZER", "TOKENIZER_MODE", "SKIP_TOKENIZER_INIT", "TRUST_REMOTE_CODE",
"DOWNLOAD_DIR", "LOAD_FORMAT", "DTYPE", "KV_CACHE_DTYPE", "QUANTIZATION_PARAM_PATH",
"MAX_MODEL_LEN", "GUIDED_DECODING_BACKEND", "DISTRIBUTED_EXECUTOR_BACKEND",
"WORKER_USE_RAY", "RAY_WORKERS_USE_NSIGHT", "PIPELINE_PARALLEL_SIZE",
"TENSOR_PARALLEL_SIZE", "MAX_PARALLEL_LOADING_WORKERS", "ENABLE_PREFIX_CACHING",
"DISABLE_SLIDING_WINDOW", "USE_V2_BLOCK_MANAGER", "NUM_LOOKAHEAD_SLOTS",
"SEED", "NUM_GPU_BLOCKS_OVERRIDE", "MAX_NUM_BATCHED_TOKENS", "MAX_NUM_SEQS",
"MAX_LOGPROBS", "DISABLE_LOG_STATS", "QUANTIZATION", "ROPE_SCALING", "ROPE_THETA",
"TOKENIZER_POOL_SIZE", "TOKENIZER_POOL_TYPE", "TOKENIZER_POOL_EXTRA_CONFIG",
"ENABLE_LORA", "MAX_LORAS", "MAX_LORA_RANK", "LORA_EXTRA_VOCAB_SIZE",
"LORA_DTYPE", "LONG_LORA_SCALING_FACTORS", "MAX_CPU_LORAS", "FULLY_SHARDED_LORAS",
"DEVICE", "SCHEDULER_DELAY_FACTOR", "ENABLE_CHUNKED_PREFILL", "SPECULATIVE_MODEL",
"NUM_SPECULATIVE_TOKENS", "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE",
"SPECULATIVE_MAX_MODEL_LEN", "SPECULATIVE_DISABLE_BY_BATCH_SIZE",
"NGRAM_PROMPT_LOOKUP_MAX", "NGRAM_PROMPT_LOOKUP_MIN", "SPEC_DECODING_ACCEPTANCE_METHOD",
"TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD", "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA",
"MODEL_LOADER_EXTRA_CONFIG", "PREEMPTION_MODE", "PREEMPTION_CHECK_PERIOD",
"PREEMPTION_CPU_CAPACITY", "MAX_LOG_LEN", "DISABLE_LOGGING_REQUEST"
]
},
{
"title": "Tokenizer Settings",
"settings": [
"TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
]
},
{
"title": "System Settings",
"settings": [
"GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
"SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
]
},
{
"title": "Streaming Settings",
"settings": [
"DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
]
},
{
"title": "OpenAI Settings",
"settings": [
"RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
]
},
{
"title": "Serverless Settings",
"settings": [
"MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
]
}
]
},
"0.6.1": {
"imageName": "runpod/worker-v1-vllm:v1.4.0stable-cuda12.1.0",
"minimumCudaVersion": "12.1",
"categories": [
{
"title": "LLM Settings",
"settings": [
"TOKENIZER", "TOKENIZER_MODE", "SKIP_TOKENIZER_INIT", "TRUST_REMOTE_CODE",
"DOWNLOAD_DIR", "LOAD_FORMAT", "DTYPE", "KV_CACHE_DTYPE", "QUANTIZATION_PARAM_PATH",
"MAX_MODEL_LEN", "GUIDED_DECODING_BACKEND", "DISTRIBUTED_EXECUTOR_BACKEND",
"WORKER_USE_RAY", "RAY_WORKERS_USE_NSIGHT", "PIPELINE_PARALLEL_SIZE",
"TENSOR_PARALLEL_SIZE", "MAX_PARALLEL_LOADING_WORKERS", "ENABLE_PREFIX_CACHING",
"DISABLE_SLIDING_WINDOW", "USE_V2_BLOCK_MANAGER", "NUM_LOOKAHEAD_SLOTS",
"SEED", "NUM_GPU_BLOCKS_OVERRIDE", "MAX_NUM_BATCHED_TOKENS", "MAX_NUM_SEQS",
"MAX_LOGPROBS", "DISABLE_LOG_STATS", "QUANTIZATION", "ROPE_SCALING", "ROPE_THETA",
"TOKENIZER_POOL_SIZE", "TOKENIZER_POOL_TYPE", "TOKENIZER_POOL_EXTRA_CONFIG",
"ENABLE_LORA", "MAX_LORAS", "MAX_LORA_RANK", "LORA_EXTRA_VOCAB_SIZE",
"LORA_DTYPE", "LONG_LORA_SCALING_FACTORS", "MAX_CPU_LORAS", "FULLY_SHARDED_LORAS",
"DEVICE", "SCHEDULER_DELAY_FACTOR", "ENABLE_CHUNKED_PREFILL", "SPECULATIVE_MODEL",
"NUM_SPECULATIVE_TOKENS", "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE",
"SPECULATIVE_MAX_MODEL_LEN", "SPECULATIVE_DISABLE_BY_BATCH_SIZE",
"NGRAM_PROMPT_LOOKUP_MAX", "NGRAM_PROMPT_LOOKUP_MIN", "SPEC_DECODING_ACCEPTANCE_METHOD",
"TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD", "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA",
"MODEL_LOADER_EXTRA_CONFIG", "PREEMPTION_MODE", "PREEMPTION_CHECK_PERIOD",
"PREEMPTION_CPU_CAPACITY", "MAX_LOG_LEN", "DISABLE_LOGGING_REQUEST"
]
},
{
"title": "Tokenizer Settings",
"settings": [
"TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
]
},
{
"title": "System Settings",
"settings": [
"GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
"SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
]
},
{
"title": "Streaming Settings",
"settings": [
"DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
]
},
{
"title": "OpenAI Settings",
"settings": [
"RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
]
},
{
"title": "Serverless Settings",
"settings": [
"MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
]
}
]
},
"0.5.5": { "0.5.5": {
"imageName": "runpod/worker-v1-vllm:v1.3.1stable-cuda12.1.0", "imageName": "runpod/worker-v1-vllm:v1.3.1stable-cuda12.1.0",
"minimumCudaVersion": "12.1", "minimumCudaVersion": "12.1",
@@ -119,110 +239,6 @@
] ]
} }
] ]
},
"0.5.3": {
"imageName": "runpod/worker-v1-vllm:stable-cuda12.1.0",
"minimumCudaVersion": "12.1",
"categories": [
{
"title": "LLM Settings",
"settings": [
"TOKENIZER", "TOKENIZER_MODE", "SKIP_TOKENIZER_INIT", "TRUST_REMOTE_CODE",
"DOWNLOAD_DIR", "LOAD_FORMAT", "DTYPE", "KV_CACHE_DTYPE", "QUANTIZATION_PARAM_PATH",
"MAX_MODEL_LEN", "GUIDED_DECODING_BACKEND", "DISTRIBUTED_EXECUTOR_BACKEND",
"WORKER_USE_RAY", "RAY_WORKERS_USE_NSIGHT", "PIPELINE_PARALLEL_SIZE",
"TENSOR_PARALLEL_SIZE", "MAX_PARALLEL_LOADING_WORKERS", "ENABLE_PREFIX_CACHING",
"DISABLE_SLIDING_WINDOW", "USE_V2_BLOCK_MANAGER", "NUM_LOOKAHEAD_SLOTS",
"SEED", "NUM_GPU_BLOCKS_OVERRIDE", "MAX_NUM_BATCHED_TOKENS", "MAX_NUM_SEQS",
"MAX_LOGPROBS", "DISABLE_LOG_STATS", "QUANTIZATION", "ROPE_SCALING", "ROPE_THETA",
"TOKENIZER_POOL_SIZE", "TOKENIZER_POOL_TYPE", "TOKENIZER_POOL_EXTRA_CONFIG",
"ENABLE_LORA", "MAX_LORAS", "MAX_LORA_RANK", "LORA_EXTRA_VOCAB_SIZE",
"LORA_DTYPE", "LONG_LORA_SCALING_FACTORS", "MAX_CPU_LORAS", "FULLY_SHARDED_LORAS",
"DEVICE", "SCHEDULER_DELAY_FACTOR", "ENABLE_CHUNKED_PREFILL", "SPECULATIVE_MODEL",
"NUM_SPECULATIVE_TOKENS", "SPECULATIVE_DRAFT_TENSOR_PARALLEL_SIZE",
"SPECULATIVE_MAX_MODEL_LEN", "SPECULATIVE_DISABLE_BY_BATCH_SIZE",
"NGRAM_PROMPT_LOOKUP_MAX", "NGRAM_PROMPT_LOOKUP_MIN", "SPEC_DECODING_ACCEPTANCE_METHOD",
"TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_THRESHOLD", "TYPICAL_ACCEPTANCE_SAMPLER_POSTERIOR_ALPHA",
"MODEL_LOADER_EXTRA_CONFIG", "PREEMPTION_MODE", "PREEMPTION_CHECK_PERIOD",
"PREEMPTION_CPU_CAPACITY", "MAX_LOG_LEN", "DISABLE_LOGGING_REQUEST"
]
},
{
"title": "Tokenizer Settings",
"settings": [
"TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
]
},
{
"title": "System Settings",
"settings": [
"GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
"SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
]
},
{
"title": "Streaming Settings",
"settings": [
"DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
]
},
{
"title": "OpenAI Settings",
"settings": [
"RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
]
},
{
"title": "Serverless Settings",
"settings": [
"MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
]
}
]
},
"0.4.2": {
"imageName": "runpod/worker-vllm:stable-cuda12.1.0",
"minimumCudaVersion": "12.1",
"categories": [
{
"title": "LLM Settings",
"settings": [
"MODEL_REVISION", "MAX_MODEL_LEN", "BASE_PATH", "LOAD_FORMAT", "QUANTIZATION",
"TRUST_REMOTE_CODE", "SEED", "KV_CACHE_DTYPE", "DTYPE"
]
},
{
"title": "Tokenizer Settings",
"settings": [
"TOKENIZER_NAME", "TOKENIZER_REVISION", "CUSTOM_CHAT_TEMPLATE"
]
},
{
"title": "System Settings",
"settings": [
"GPU_MEMORY_UTILIZATION", "MAX_PARALLEL_LOADING_WORKERS", "BLOCK_SIZE",
"SWAP_SPACE", "ENFORCE_EAGER", "MAX_SEQ_LEN_TO_CAPTURE", "DISABLE_CUSTOM_ALL_REDUCE"
]
},
{
"title": "Streaming Settings",
"settings": [
"DEFAULT_BATCH_SIZE", "DEFAULT_MIN_BATCH_SIZE", "DEFAULT_BATCH_SIZE_GROWTH_FACTOR"
]
},
{
"title": "OpenAI Settings",
"settings": [
"RAW_OPENAI_OUTPUT", "OPENAI_RESPONSE_ROLE", "OPENAI_SERVED_MODEL_NAME_OVERRIDE"
]
},
{
"title": "Serverless Settings",
"settings": [
"MAX_CONCURRENCY", "DISABLE_LOG_STATS", "DISABLE_LOG_REQUESTS"
]
}
]
} }
}, },
"schema": { "schema": {