Skip to content

[docs] update vllm usage #11

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

[docs] update vllm usage #11

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 3 additions & 7 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -132,11 +132,7 @@ vLLM supports offline batched inference or launching an OpenAI-Compatible API Se
Since the Pull Request (PR) has not been submitted to the vLLM community at this stage, please prepare the environment by following the steps below:

```bash
git clone -b v0.10.0 https://github.com/vllm-project/vllm.git
cd vllm
wget https://raw.githubusercontent.com/inclusionAI/Ling-V2/refs/heads/main/inference/vllm/bailing_moe_v2.patch
git apply bailing_moe_v2.patch
pip install -e .
pip install vllm==0.11.0
```

#### Offline Inference:
Expand All @@ -149,7 +145,7 @@ tokenizer = AutoTokenizer.from_pretrained("inclusionAI/Ling-mini-2.0")

sampling_params = SamplingParams(temperature=0.7, top_p=0.8, repetition_penalty=1.05, max_tokens=16384)

llm = LLM(model="inclusionAI/Ling-mini-2.0", dtype='bfloat16')
llm = LLM(model="inclusionAI/Ling-mini-2.0", dtype='bfloat16', trust_remote_code=True)
prompt = "Give me a short introduction to large language models."
messages = [
{"role": "system", "content": "You are Ling, an assistant created by inclusionAI"},
Expand All @@ -171,7 +167,7 @@ outputs = llm.generate([text], sampling_params)
vllm serve inclusionAI/Ling-mini-2.0 \
--tensor-parallel-size 2 \
--pipeline-parallel-size 1 \
--use-v2-block-manager \
--trust-remote-code \
--gpu-memory-utilization 0.90
```

Expand Down
Loading