Instructions to use pipizhao/Pandalyst-7B-V1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pipizhao/Pandalyst-7B-V1.1 with Transformers:

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

pipe = pipeline("text-generation", model="pipizhao/Pandalyst-7B-V1.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("pipizhao/Pandalyst-7B-V1.1")
model = AutoModelForCausalLM.from_pretrained("pipizhao/Pandalyst-7B-V1.1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pipizhao/Pandalyst-7B-V1.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pipizhao/Pandalyst-7B-V1.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pipizhao/Pandalyst-7B-V1.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/pipizhao/Pandalyst-7B-V1.1

SGLang

How to use pipizhao/Pandalyst-7B-V1.1 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 "pipizhao/Pandalyst-7B-V1.1" \
    --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": "pipizhao/Pandalyst-7B-V1.1",
		"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 "pipizhao/Pandalyst-7B-V1.1" \
        --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": "pipizhao/Pandalyst-7B-V1.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pipizhao/Pandalyst-7B-V1.1 with Docker Model Runner:
```
docker model run hf.co/pipizhao/Pandalyst-7B-V1.1
```

pipizhao commited on Oct 10, 2023

Commit

913c1ec

1 Parent(s): 62691d9

Update README.md

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README.md +3 -3

README.md CHANGED Viewed

@@ -21,11 +21,11 @@ language:
 ## Pandalyst: A large language model for mastering data analysis using pandas
 <p align="center">
-<img src="https://raw.githubusercontent.com/zhengyanzhao1997/Pandalyst/master/imgs/pandalyst.png" width="300"/>
 </p>
 <p align="center">
-🐱 <a href="https://github.com/zhengyanzhao1997/Pandalyst" target="_blank">Github Repo</a> <br>
 </p>
 **What is Pandalyst**
@@ -52,4 +52,4 @@ language:
 ## Usage and Human evaluation
-Please refer to <a href="https://github.com/zhengyanzhao1997/Pandalyst" target="_blank">Github</a>.

 ## Pandalyst: A large language model for mastering data analysis using pandas
 <p align="center">
+<img src="https://raw.githubusercontent.com/pipizhaoa/Pandalyst/master/imgs/pandalyst.png" width="300"/>
 </p>
 <p align="center">
+🐱 <a href="https://github.com/pipizhaoa/Pandalyst" target="_blank">Github Repo</a> <br>
 </p>
 **What is Pandalyst**
 ## Usage and Human evaluation
+Please refer to <a href="https://github.com/pipizhaoa/Pandalyst" target="_blank">Github</a>.