Instructions to use Wonder-Griffin/XL-Judge-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Wonder-Griffin/XL-Judge-LLM with Transformers:

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

pipe = pipeline("text-generation", model="Wonder-Griffin/XL-Judge-LLM")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import JudgeXL
model = JudgeXL.from_pretrained("Wonder-Griffin/XL-Judge-LLM", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Wonder-Griffin/XL-Judge-LLM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Wonder-Griffin/XL-Judge-LLM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Wonder-Griffin/XL-Judge-LLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Wonder-Griffin/XL-Judge-LLM

SGLang

How to use Wonder-Griffin/XL-Judge-LLM 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 "Wonder-Griffin/XL-Judge-LLM" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Wonder-Griffin/XL-Judge-LLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "Wonder-Griffin/XL-Judge-LLM" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Wonder-Griffin/XL-Judge-LLM",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Wonder-Griffin/XL-Judge-LLM with Docker Model Runner:
```
docker model run hf.co/Wonder-Griffin/XL-Judge-LLM
```

Wonder-Griffin commited on Jul 25, 2024

Commit

6032404

verified ·

1 Parent(s): 59ea38e

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README.md +2 -2
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -1,5 +1,4 @@
 ---
-license: unlicense
 datasets:
 - proj-persona/PersonaHub
 - Salesforce/xlam-function-calling-60k
@@ -10,13 +9,14 @@ datasets:
 - Open-Orca/OpenOrca
 language:
 - en
 metrics:
 - accuracy
 - precision
 - bleu
 - recall
 - hack/test_metric
-library_name: transformers
 pipeline_tag: text-generation
 ---

 ---
 datasets:
 - proj-persona/PersonaHub
 - Salesforce/xlam-function-calling-60k
 - Open-Orca/OpenOrca
 language:
 - en
+library_name: transformers
+license: unlicense
 metrics:
 - accuracy
 - precision
 - bleu
 - recall
 - hack/test_metric
 pipeline_tag: text-generation
 ---

model.safetensors CHANGED Viewed

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