Instructions to use fireballoon/baichuan-llama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fireballoon/baichuan-llama-7b with Transformers:

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

pipe = pipeline("text-generation", model="fireballoon/baichuan-llama-7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("fireballoon/baichuan-llama-7b")
model = AutoModelForCausalLM.from_pretrained("fireballoon/baichuan-llama-7b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use fireballoon/baichuan-llama-7b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/fireballoon/baichuan-llama-7b

SGLang

How to use fireballoon/baichuan-llama-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 "fireballoon/baichuan-llama-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": "fireballoon/baichuan-llama-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 "fireballoon/baichuan-llama-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": "fireballoon/baichuan-llama-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use fireballoon/baichuan-llama-7b with Docker Model Runner:
```
docker model run hf.co/fireballoon/baichuan-llama-7b
```

Baichuan-13B please!

by greatzane - opened Jul 11, 2023

Discussion

greatzane

Jul 11, 2023

Can you share how to convert the model from Baichuan format to LLaMA format?
Thanks!

fireballoon

Owner Jul 11, 2023

The conversion script I use is at https://huggingface.co/fireballoon/baichuan-llama-7b/blob/main/convert_baichuan_to_llama.py. Actually the difference between baichuan-7b and llama-7b is only that it merges the qkv matrices. I haven't checked baichuan-13b yet.

greatzane

Jul 12, 2023

OK, I'll check it out. Thank you so much!

greatzane changed discussion status to closed Jul 12, 2023

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