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[Doc] Add inplace weights loading example #19640

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@22quinn 22quinn commented Jun 14, 2025

Essential Elements of an Effective PR Description Checklist

  • The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
  • The test plan, such as providing test command.
  • The test results, such as pasting the results comparison before and after, or e2e results
  • (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

Purpose

Provide an example of inplace weights loading feature added in #18745 #19884

Test Plan

python examples/offline_inference/inplace_weights_loading.py

Test Result

INFO 06-19 18:10:17 [gpu_model_runner.py:1695] Starting to load model facebook/opt-125m...
INFO 06-19 18:10:19 [gpu_model_runner.py:1705] Model was already initialized. Loading weights inplace...
INFO 06-19 18:10:19 [weight_utils.py:292] Using model weights format ['*.bin']
Loading pt checkpoint shards:   0% Completed | 0/1 [00:00<?, ?it/s]
Loading pt checkpoint shards: 100% Completed | 1/1 [00:00<00:00,  3.77it/s]
Loading pt checkpoint shards: 100% Completed | 1/1 [00:00<00:00,  3.77it/s]

INFO 06-19 18:10:19 [default_loader.py:272] Loading weights took 0.27 seconds
INFO 06-19 18:10:20 [gpu_model_runner.py:1724] Model loading took 0.0000 GiB and 0.404207 seconds
Adding requests: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 237.13it/s]
Processed prompts: 100%|█████| 4/4 [00:00<00:00, 18.14it/s, est. speed input: 117.96 toks/s, output: 290.34 toks/s]

LLM Outputs:
------------------------------------------------------------
Prompt:    'Hello, my name is'
Output:    ' Joel, my dad is my friend and we are in a relationship. I am'
------------------------------------------------------------
Prompt:    'The president of the United States is'
Output:    ' reportedly being investigated by the FBI over the allegations that he broke campaign finance laws in'
------------------------------------------------------------
Prompt:    'The capital of France is'
Output:    ' all set to open a new gateway to the most notorious terror camps in Europe,'
------------------------------------------------------------
Prompt:    'The future of AI is'
Output:    ' in their hands. We cannot prevent the future.\nAgreed.  '
------------------------------------------------------------


INFO 06-19 18:10:37 [gpu_model_runner.py:1695] Starting to load model facebook/opt-125m...
INFO 06-19 18:10:37 [gpu_model_runner.py:1705] Model was already initialized. Loading weights inplace...
INFO 06-19 18:10:37 [weight_utils.py:292] Using model weights format ['*.bin']
Loading pt checkpoint shards:   0% Completed | 0/1 [00:00<?, ?it/s]
Loading pt checkpoint shards: 100% Completed | 1/1 [00:00<00:00,  3.43it/s]
Loading pt checkpoint shards: 100% Completed | 1/1 [00:00<00:00,  3.42it/s]

INFO 06-19 18:10:38 [default_loader.py:272] Loading weights took 0.30 seconds
INFO 06-19 18:10:38 [gpu_model_runner.py:1724] Model loading took 0.0000 GiB and 0.391163 seconds
INFO 06-19 18:10:38 [async_llm.py:270] Added request 0.

LLM Outputs:
------------------------------------------------------------
Prompt:    'What is LLM?'
Output:    '\n\nLLM is a term used to describe the process of learning and developing'
------------------------------------------------------------

(Optional) Documentation Update

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Summary of Changes

Hello @22quinn, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new example script to the examples/offline_inference directory. The purpose is to provide a clear, runnable demonstration of how to use the recently added feature that allows initializing the vLLM engine with dummy weights and then loading the real model weights later, inplace, via an RPC call. This helps users understand and utilize this advanced loading capability.

Highlights

  • New Example Script: Adds a new Python script (examples/offline_inference/inplace_weights_loading.py) specifically designed to showcase the inplace weights loading feature.
  • Demonstrates Inplace Loading: The example initializes the LLM with load_format="dummy", then updates the engine's configuration to load_format="auto" and triggers the actual model loading via llm.collective_rpc("load_model").
  • Verification: Includes a step to run inference after loading the real weights to verify the process was successful.
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@mergify mergify bot added the documentation Improvements or additions to documentation label Jun 14, 2025
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Code Review

This pull request adds an example demonstrating the inplace weights loading feature. The suggestions focus on removing unrelated code and enhancing comments for better clarity.

Comment on lines 17 to 38
# def aync_main():
# engine = AsyncLLMEngine.from_engine_args(engine_args)
# example_input = {
# "prompt": "What is LLM?",
# "stream": False, # assume the non-streaming case
# "temperature": 0.0,
# "request_id": 0,
# }
# # start the generation
# results_generator = engine.generate(
# example_input["prompt"],
# SamplingParams(temperature=example_input["temperature"]),
# example_input["request_id"])
# # get the results
# final_output = None
# async for request_output in results_generator:
# if await request.is_disconnected():
# # Abort the request if the client disconnects.
# await engine.abort(request_id)
# # Return or raise an error
# ...
# final_output = request_output
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medium

This commented-out code block appears unrelated to the example's purpose and could be removed to improve clarity.

Comment on lines 49 to 50
llm.llm_engine.vllm_config.load_config.load_format = "auto"
llm.collective_rpc("load_model")
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medium

Consider adding more detail to this comment, explaining the two-step process: updating load_format and then calling collective_rpc.

Suggested change
llm.llm_engine.vllm_config.load_config.load_format = "auto"
llm.collective_rpc("load_model")
# Now load real weights inplace.
# 1. Update load_format to 'auto'.
# 2. Trigger model loading with collective_rpc.

@22quinn 22quinn changed the title [Docs] Add inplace weights loading example [Doc] Add inplace weights loading example Jun 14, 2025
22quinn added 5 commits June 14, 2025 23:00
Signed-off-by: 22quinn <[email protected]>
Signed-off-by: 22quinn <[email protected]>
Signed-off-by: 22quinn <[email protected]>
@22quinn 22quinn marked this pull request as ready for review June 20, 2025 01:18
llm = LLM(
model="facebook/opt-125m",
load_format="dummy",
enforce_eager=True,
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to demonstrate it functions ok, i think we'd need tp2 at least

sampling_params = SamplingParams(temperature=0.8, top_p=0.95)


async def aync_main():
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i don't think we need to keep a sync and an async version. as the usage of those collective_rpcs are almost the same.

if you want to be comprehensive, it'll be nicer to follow one of the existing rlhf examples like https://github.com/vllm-project/vllm/blob/main/examples/offline_inference/rlhf_colocate.py

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