Instructions to use FreedomIntelligence/AceGPT-13B-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FreedomIntelligence/AceGPT-13B-chat with Transformers:

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

pipe = pipeline("text-generation", model="FreedomIntelligence/AceGPT-13B-chat")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/AceGPT-13B-chat")
model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/AceGPT-13B-chat")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use FreedomIntelligence/AceGPT-13B-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FreedomIntelligence/AceGPT-13B-chat"
# 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-13B-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FreedomIntelligence/AceGPT-13B-chat

SGLang

How to use FreedomIntelligence/AceGPT-13B-chat 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-13B-chat" \
    --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-13B-chat",
		"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-13B-chat" \
        --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-13B-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FreedomIntelligence/AceGPT-13B-chat with Docker Model Runner:
```
docker model run hf.co/FreedomIntelligence/AceGPT-13B-chat
```

jianqing666 commited on Dec 1, 2023

Commit

eabdecd

1 Parent(s): 633dcfb

Upload 2 files

Browse files

Files changed (1) hide show

config.json +3 -4

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/ibex/user/xuj0h/LLM_ckpt/llama-pretrained-13b-RLHF-1199",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -21,10 +21,9 @@
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
-  "rope_theta": 10000.0,
   "tie_word_embeddings": false,
-  "torch_dtype": "float32",
-  "transformers_version": "4.33.2",
   "use_cache": true,
   "vocab_size": 32000
 }

 {
+  "_name_or_path": "/mntcephfs/lab_data/chenjunying/zhujianqing/llm_train/yufei/ppo-SRIBD/r32-u2-alr5e-7-clrd-b32-kl0.01-cr5-13b/checkpoint-799/actor",
   "architectures": [
     "LlamaForCausalLM"
   ],
   "pretraining_tp": 1,
   "rms_norm_eps": 1e-05,
   "rope_scaling": null,
   "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.29.0",
   "use_cache": true,
   "vocab_size": 32000
 }