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Mention FastChat-vLLM integration in README#236

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zhuohan123 merged 1 commit intomainfrom
merrymercy-patch-1
Jun 25, 2023
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Mention FastChat-vLLM integration in README#236
zhuohan123 merged 1 commit intomainfrom
merrymercy-patch-1

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@merrymercy merrymercy commented Jun 25, 2023

Please use the more precise term "FastChat-vLLM integration" when mentioning anything related to Chatbot Arena.
Otherwise, people will get confused and think we are deprecating FastChat.
lm-sys/FastChat#1775

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LGTM! This is actually more clear!

@zhuohan123 zhuohan123 merged commit 6214dd6 into main Jun 25, 2023
@merrymercy merrymercy deleted the merrymercy-patch-1 branch June 26, 2023 03:16
michaelfeil pushed a commit to michaelfeil/vllm that referenced this pull request Jul 1, 2023
hongxiayang pushed a commit to hongxiayang/vllm that referenced this pull request Feb 13, 2024
jikunshang pushed a commit to jikunshang/vllm that referenced this pull request Sep 24, 2024
…ct#236)

FILL IN THE PR DESCRIPTION HERE

FIX #HabanaAI#198

After this change, we can see tool_calls can be returned successfully

``` bash
Compiling FSM index for all state transitions: 100%|████████████████████████████████████████████████████████████████████████| 55/55 [00:01<00:00, 32.86it/s]INFO 09-04 02:15:34 metrics.py:406] Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Swapped: 0 reqs, Pending: 0 reqs, GPU KV cache usage: 0.0%, CPU KV cache usage: 0.0%.
INFO 09-04 02:15:34 logger.py:36] Received request chat-0fd03b03ae05473488d9bce566401d91: prompt: "<|im_start|>user\nWhat's the weather like in Boston today?<|im_end|>\n<|im_start|>assistant\n", params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.7, top_p=1.0, top_k=-1, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=[], stop_token_ids=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=1000, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: [27, 91, 318, 5011, 91, 29, 882, 198, 3923, 596, 279, 9282, 1093, 304, 10406, 3432, 76514, 91, 318, 6345, 91, 397, 27, 91, 318, 5011, 91, 29, 78191, 198], lora_request: None, prompt_adapter_request: None.
INFO 09-04 02:15:34 async_llm_engine.py:173] Added request chat-0fd03b03ae05473488d9bce566401d91.
INFO 09-04 02:15:36 async_llm_engine.py:140] Finished request chat-0fd03b03ae05473488d9bce566401d91.
INFO:     127.0.0.1:40452 - "POST /v1/chat/completions HTTP/1.1" 200 OK
Message: ChatCompletionMessage(content='', refusal=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='chatcmpl-tool-af3eac9372144f959ed0df7e16cf5da4', function=Function(arguments='{ "location": "Boston, MA", "unit": "fahrenheit" }', name='get_current_weather'), type='function')])
```

**BEFORE SUBMITTING, PLEASE READ THE CHECKLIST BELOW AND FILL IN THE
DESCRIPTION ABOVE**

---

<details>
<!-- inside this <details> section, markdown rendering does not work, so
we use raw html here. -->
<summary><b> PR Checklist (Click to Expand) </b></summary>

<p>Thank you for your contribution to vLLM! Before submitting the pull
request, please ensure the PR meets the following criteria. This helps
vLLM maintain the code quality and improve the efficiency of the review
process.</p>

<h3>PR Title and Classification</h3>
<p>Only specific types of PRs will be reviewed. The PR title is prefixed
appropriately to indicate the type of change. Please use one of the
following:</p>
<ul>
    <li><code>[Bugfix]</code> for bug fixes.</li>
<li><code>[CI/Build]</code> for build or continuous integration
improvements.</li>
<li><code>[Doc]</code> for documentation fixes and improvements.</li>
<li><code>[Model]</code> for adding a new model or improving an existing
model. Model name should appear in the title.</li>
<li><code>[Frontend]</code> For changes on the vLLM frontend (e.g.,
OpenAI API server, <code>LLM</code> class, etc.) </li>
<li><code>[Kernel]</code> for changes affecting CUDA kernels or other
compute kernels.</li>
<li><code>[Core]</code> for changes in the core vLLM logic (e.g.,
<code>LLMEngine</code>, <code>AsyncLLMEngine</code>,
<code>Scheduler</code>, etc.)</li>
<li><code>[Hardware][Vendor]</code> for hardware-specific changes.
Vendor name should appear in the prefix (e.g.,
<code>[Hardware][AMD]</code>).</li>
<li><code>[Misc]</code> for PRs that do not fit the above categories.
Please use this sparingly.</li>
</ul>
<p><strong>Note:</strong> If the PR spans more than one category, please
include all relevant prefixes.</p>

<h3>Code Quality</h3>

<p>The PR need to meet the following code quality standards:</p>

<ul>
<li>We adhere to <a
href="https://google.github.io/styleguide/pyguide.html">Google Python
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href="https://google.github.io/styleguide/cppguide.html">Google C++
style guide</a>.</li>
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href="https://github.com/vllm-project/vllm/blob/main/format.sh"><code>format.sh</code></a>
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</ul>

<h3>Notes for Large Changes</h3>
<p>Please keep the changes as concise as possible. For major
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would expect a GitHub issue (RFC) discussing the technical design and
justification. Otherwise, we will tag it with <code>rfc-required</code>
and might not go through the PR.</p>

<h3>What to Expect for the Reviews</h3>

<p>The goal of the vLLM team is to be a <i>transparent reviewing
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However, the vLLM team is small, so we need to prioritize some PRs over
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<ul>
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Every reviewer will pick up the PRs based on their expertise and
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<li> After the PR is assigned, the reviewer will provide status update
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<li> Please respond to all comments within a reasonable time frame. If a
comment isn't clear or you disagree with a suggestion, feel free to ask
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 </li>
</ul>

<h3>Thank You</h3>

<p> Finally, thank you for taking the time to read these guidelines and
for your interest in contributing to vLLM. Your contributions make vLLM
a great tool for everyone! </p>


</details>
mht-sharma pushed a commit to mht-sharma/vllm that referenced this pull request Oct 30, 2024
* cuda graph + num-scheduler-steps bug fix

* cuda graph + num-scheduler-steps bug fix

* linting
wuhuikx pushed a commit to wuhuikx/vllm that referenced this pull request Mar 27, 2025
### What this PR does / why we need it?
support MTP.

### Does this PR introduce _any_ user-facing change?
can use num_speculative_tokens=1 turn on MTP in deepseekv3/r1 model.

### How was this patch tested?
tests/spec_decode/e2e/test_mtp_correctness.py  passed.

---------

Signed-off-by: mengwei805 <mengwei25@huawei.com>
Co-authored-by: mengwei805 <mengwei25@huawei.com>
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