Instructions to use Writer/InstructPalmyra-20b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Writer/InstructPalmyra-20b with Transformers:

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

pipe = pipeline("text-generation", model="Writer/InstructPalmyra-20b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Writer/InstructPalmyra-20b")
model = AutoModelForCausalLM.from_pretrained("Writer/InstructPalmyra-20b")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Writer/InstructPalmyra-20b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Writer/InstructPalmyra-20b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Writer/InstructPalmyra-20b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Writer/InstructPalmyra-20b

SGLang

How to use Writer/InstructPalmyra-20b 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 "Writer/InstructPalmyra-20b" \
    --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": "Writer/InstructPalmyra-20b",
		"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 "Writer/InstructPalmyra-20b" \
        --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": "Writer/InstructPalmyra-20b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Writer/InstructPalmyra-20b with Docker Model Runner:
```
docker model run hf.co/Writer/InstructPalmyra-20b
```

add example for text-generation-inference

by nbroad - opened Aug 28, 2023

base: refs/heads/main

←

from: refs/pr/3

Discussion Files changed

-0

Files changed (1) hide show

README.md +9 -0

README.md CHANGED Viewed

@@ -84,6 +84,15 @@ clean_output = output_text.split("### Response:")[1].strip()
 print(clean_output)
 ```
 ### Limitations and Biases

 print(clean_output)
 ```
+It can also be used with text-generation-inference
+```sh
+model=Writer/InstructPalmyra-20b
+volume=$PWD/data
+docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference --model-id $model
+```
 ### Limitations and Biases