Instructions to use internlm/internlm2-chat-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use internlm/internlm2-chat-7b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="internlm/internlm2-chat-7b", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("internlm/internlm2-chat-7b", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use internlm/internlm2-chat-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "internlm/internlm2-chat-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/internlm2-chat-7b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/internlm/internlm2-chat-7b

SGLang

How to use internlm/internlm2-chat-7b with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "internlm/internlm2-chat-7b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/internlm2-chat-7b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "internlm/internlm2-chat-7b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/internlm2-chat-7b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use internlm/internlm2-chat-7b with Docker Model Runner:
```
docker model run hf.co/internlm/internlm2-chat-7b
```

RangiLyu commited on May 13, 2024

Commit

dadcf02

1 Parent(s): 292bc88

update readme

Browse files

Files changed (1) hide show

README.md +5 -6

README.md CHANGED Viewed

@@ -20,8 +20,7 @@ license: other
 [![evaluation](https://github.com/InternLM/InternLM/assets/22529082/f80a2a58-5ddf-471a-8da4-32ab65c8fd3b)](https://github.com/internLM/OpenCompass/)
-[💻Github Repo](https://github.com/InternLM/InternLM) • [🤔Reporting Issues](https://github.com/InternLM/InternLM/issues/new) •
-[📜Technical Report](https://arxiv.org/abs/2403.17297)
 </div>
@@ -284,8 +283,8 @@ curl http://localhost:23333/v1/chat/completions \
     -d '{
     "model": "internlm2-chat-7b",
     "messages": [
-    {"role": "system", "content": "You are a helpful assistant."},
-    {"role": "user", "content": "Introduce deep learning to me."}
     ]
     }'
 ```
@@ -312,8 +311,8 @@ curl http://localhost:8000/v1/chat/completions \
     -d '{
     "model": "internlm2-chat-7b",
     "messages": [
-    {"role": "system", "content": "You are a helpful assistant."},
-    {"role": "user", "content": "Introduce deep learning to me."}
     ]
     }'
 ```

 [![evaluation](https://github.com/InternLM/InternLM/assets/22529082/f80a2a58-5ddf-471a-8da4-32ab65c8fd3b)](https://github.com/internLM/OpenCompass/)
+[💻Github Repo](https://github.com/InternLM/InternLM) • [🤔Reporting Issues](https://github.com/InternLM/InternLM/issues/new) • [📜Technical Report](https://arxiv.org/abs/2403.17297)
 </div>
     -d '{
     "model": "internlm2-chat-7b",
     "messages": [
+    {"role": "system", "content": "你是个友善的AI助手。"},
+    {"role": "user", "content": "介绍一下深度学习。"}
     ]
     }'
 ```
     -d '{
     "model": "internlm2-chat-7b",
     "messages": [
+    {"role": "system", "content": "你是个友善的AI助手。"},
+    {"role": "user", "content": "介绍一下深度学习。"}
     ]
     }'
 ```