Instructions to use FreedomIntelligence/AceGPT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FreedomIntelligence/AceGPT-7B with Transformers:

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

pipe = pipeline("text-generation", model="FreedomIntelligence/AceGPT-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/AceGPT-7B")
model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/AceGPT-7B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FreedomIntelligence/AceGPT-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FreedomIntelligence/AceGPT-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FreedomIntelligence/AceGPT-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FreedomIntelligence/AceGPT-7B

SGLang

How to use FreedomIntelligence/AceGPT-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 "FreedomIntelligence/AceGPT-7B" \
    --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": "FreedomIntelligence/AceGPT-7B",
		"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 "FreedomIntelligence/AceGPT-7B" \
        --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": "FreedomIntelligence/AceGPT-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FreedomIntelligence/AceGPT-7B with Docker Model Runner:
```
docker model run hf.co/FreedomIntelligence/AceGPT-7B
```

sxn6144 commited on Sep 21, 2023

Commit

a0b3cef

1 Parent(s): 6d15fa6

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@@ -40,7 +40,7 @@ belong to Arabic MMLU. Best performance is in bold and the second best is underl
 | Jais-13B-base                    | 30.01        | 27.85        | 25.42        | 39.7         | 27.06        | 35.67         |
 | AceGPT-7B-base                   | 30.36        | 26.63        | 28.17        | 35.15        | 31.5         | 31.96         |
 | AceGPT-13B-base                  | <u>37.26</u> | <u>35.16</u> | <u>30.3</u>  | <u>47.34</u> | <u>36.25</u> | <u>36.63</u>  |
-| ChatGPT                          | <b>46.07</b> | <b>44.17</b> | <b>35.33/<b> | <b>61.26</b> | <b>43.52</b> | <b>45.63 </b> |
 ---
 ## Samples

 | Jais-13B-base                    | 30.01        | 27.85        | 25.42        | 39.7         | 27.06        | 35.67         |
 | AceGPT-7B-base                   | 30.36        | 26.63        | 28.17        | 35.15        | 31.5         | 31.96         |
 | AceGPT-13B-base                  | <u>37.26</u> | <u>35.16</u> | <u>30.3</u>  | <u>47.34</u> | <u>36.25</u> | <u>36.63</u>  |
+| ChatGPT                          | <b>46.07</b> | <b>44.17</b> | <b>35.33</b> | <b>61.26</b> | <b>43.52</b> | <b>45.63 </b> |
 ---
 ## Samples