Instructions to use FreedomIntelligence/AceGPT-v2-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FreedomIntelligence/AceGPT-v2-32B with Transformers:

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

pipe = pipeline("text-generation", model="FreedomIntelligence/AceGPT-v2-32B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/AceGPT-v2-32B")
model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/AceGPT-v2-32B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FreedomIntelligence/AceGPT-v2-32B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FreedomIntelligence/AceGPT-v2-32B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FreedomIntelligence/AceGPT-v2-32B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FreedomIntelligence/AceGPT-v2-32B

SGLang

How to use FreedomIntelligence/AceGPT-v2-32B 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 "FreedomIntelligence/AceGPT-v2-32B" \
    --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": "FreedomIntelligence/AceGPT-v2-32B",
		"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 "FreedomIntelligence/AceGPT-v2-32B" \
        --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": "FreedomIntelligence/AceGPT-v2-32B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FreedomIntelligence/AceGPT-v2-32B with Docker Model Runner:
```
docker model run hf.co/FreedomIntelligence/AceGPT-v2-32B
```

JuhaoLiang commited on Nov 14, 2024

Commit

d07e8ea

verified ·

1 Parent(s): 7c07fd5

Update README.md

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README.md CHANGED Viewed

@@ -77,14 +77,15 @@ Benchmarks for English and Chinese are conducted using the [OpenCompass](https:/
 # Reference
-<!-- ```
-@article{liang2024alignment,
-  title={Alignment at Pre-training! Towards Native Alignment for Arabic LLMs},
-  author={Liang, Juhao and Cai, Zhenyang and Zhu, Jianqing and Huang, Huang and Zong, Kewei and An, Bang and Alharthi, Mosen and He, Juncai and Zhang, Lian and Li, Haizhou and Wang, Benyou and Xu, Jinchao},
-  journal={},
-  year={2024}
 }
-``` -->
 ```
 @article{zhu2024second,
   title={Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion},

 # Reference
+```
+@inproceedings{liang2024alignment,
+  title={Alignment at Pre-training! Towards Native Alignment for Arabic {LLM}s},
+  author={Juhao Liang and Zhenyang Cai and Jianqing Zhu and Huang Huang and Kewei Zong and Bang An and Mosen Alharthi and Juncai He and Lian Zhang and Haizhou Li and Benyou Wang and Jinchao Xu},
+  booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
+  year={2024},
+  url={https://openreview.net/forum?id=woRFmNJiLp}
 }
+```
 ```
 @article{zhu2024second,
   title={Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion},