Instructions to use OpenMOSS-Team/moss-moon-003-sft-plugin-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenMOSS-Team/moss-moon-003-sft-plugin-int4 with Transformers:

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

pipe = pipeline("text-generation", model="OpenMOSS-Team/moss-moon-003-sft-plugin-int4", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/moss-moon-003-sft-plugin-int4", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OpenMOSS-Team/moss-moon-003-sft-plugin-int4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenMOSS-Team/moss-moon-003-sft-plugin-int4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenMOSS-Team/moss-moon-003-sft-plugin-int4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OpenMOSS-Team/moss-moon-003-sft-plugin-int4

SGLang

How to use OpenMOSS-Team/moss-moon-003-sft-plugin-int4 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 "OpenMOSS-Team/moss-moon-003-sft-plugin-int4" \
    --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": "OpenMOSS-Team/moss-moon-003-sft-plugin-int4",
		"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 "OpenMOSS-Team/moss-moon-003-sft-plugin-int4" \
        --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": "OpenMOSS-Team/moss-moon-003-sft-plugin-int4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OpenMOSS-Team/moss-moon-003-sft-plugin-int4 with Docker Model Runner:
```
docker model run hf.co/OpenMOSS-Team/moss-moon-003-sft-plugin-int4
```

Getting ModuleNotFoundError: No module named 'transformers_modules.moss-moon-003-sft-int4.custom_autotune'

by karfly - opened Apr 26, 2023

Discussion

karfly

Apr 26, 2023

Get this error whiles executing model = AutoModelForCausalLM.from_pretrained(MODEL_PATH, trust_remote_code=True).half().cuda()

Full traceback:

Traceback (most recent call last):
  File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/app/basaran/__main__.py", line 40, in <module>
    stream_model = load_model(
  File "/app/basaran/model.py", line 342, in load_model
    model = AutoModelForCausalLM.from_pretrained(name_or_path, trust_remote_code=True).half().cuda()
  File "/usr/local/lib/python3.8/dist-packages/transformers/models/auto/auto_factory.py", line 466, in from_pretrained
    return model_class.from_pretrained(
  File "/usr/local/lib/python3.8/dist-packages/transformers/modeling_utils.py", line 2629, in from_pretrained
    model = cls(config, *model_args, **model_kwargs)
  File "/root/.cache/huggingface/modules/transformers_modules/moss-moon-003-sft-int4/modeling_moss.py", line 608, in __init__
    self.quantize(config.wbits, config.groupsize)
  File "/root/.cache/huggingface/modules/transformers_modules/moss-moon-003-sft-int4/modeling_moss.py", line 732, in quantize
    from .quantization import quantize_with_gptq
  File "/root/.cache/huggingface/modules/transformers_modules/moss-moon-003-sft-int4/quantization.py", line 8, in <module>
    from .custom_autotune import *
ModuleNotFoundError: No module named 'transformers_modules.moss-moon-003-sft-int4.custom_autotune'

How to solve it?

Lenery

May 5, 2023

•

edited May 5, 2023

You could try this

import sys
sys.path.append('/root/.cache/huggingface/modules')

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