Instructions to use internlm/internlm-chat-20b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use internlm/internlm-chat-20b-4bit with Transformers:

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

pipe = pipeline("text-generation", model="internlm/internlm-chat-20b-4bit", trust_remote_code=True)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("internlm/internlm-chat-20b-4bit", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use internlm/internlm-chat-20b-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "internlm/internlm-chat-20b-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/internlm-chat-20b-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/internlm/internlm-chat-20b-4bit

SGLang

How to use internlm/internlm-chat-20b-4bit 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/internlm-chat-20b-4bit" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/internlm-chat-20b-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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/internlm-chat-20b-4bit" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "internlm/internlm-chat-20b-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use internlm/internlm-chat-20b-4bit with Docker Model Runner:
```
docker model run hf.co/internlm/internlm-chat-20b-4bit
```

Assertion Error

by BBLL3456 - opened Sep 27, 2023

Discussion

BBLL3456

Sep 27, 2023

When ran with lmdeploy, while converting the model i ran into this error:

layers.59.attention_norm.weight torch.Size([5120])
layers.59.ffn_norm.weight torch.Size([5120])
tok_embeddings.weight torch.Size([103168, 5120])
norm.weight torch.Size([5120])
output.weight torch.Size([103168, 5120])
Traceback (most recent call last):
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/lmdeploy/serve/turbomind/deploy.py", line 1028, in
fire.Fire(main)
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/lmdeploy/serve/turbomind/deploy.py", line 992, in main
res = deploy_hf(model_name, model_path, tokenizer_path,
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/lmdeploy/serve/turbomind/deploy.py", line 541, in deploy_hf
return export(model_name,
File "/home/user/miniconda3/envs/internlm2/lib/python3.10/site-packages/lmdeploy/serve/turbomind/deploy.py", line 202, in export
assert inter_size > 0
AssertionError

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