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

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
```

changed palmyra-med -> InstructPalmyra-20b

by nbroad - opened Aug 28, 2023

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-2

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -100,11 +100,11 @@ Production use without adequate assessment of risks and mitigation; any use case
 ## Bias, Risks, and Limitations
-Palmyra-Med-20B is mostly trained on English data, and will not generalize appropriately to other languages. Furthermore, as it is trained on a large-scale corpora representative of the web, it will carry the stereotypes and biases commonly encountered online.
 ### Recommendations
-We recommend users of Palmyra-Med-20B to develop guardrails and to take appropriate precautions for any production use.

 ## Bias, Risks, and Limitations
+InstructPalmyra-20b is mostly trained on English data, and will not generalize appropriately to other languages. Furthermore, as it is trained on a large-scale corpora representative of the web, it will carry the stereotypes and biases commonly encountered online.
 ### Recommendations
+We recommend users of InstructPalmyra-20b to develop guardrails and to take appropriate precautions for any production use.