Instructions to use matchaaaaa/Honey-Yuzu-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use matchaaaaa/Honey-Yuzu-13B with Transformers:

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

pipe = pipeline("text-generation", model="matchaaaaa/Honey-Yuzu-13B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("matchaaaaa/Honey-Yuzu-13B")
model = AutoModelForMultimodalLM.from_pretrained("matchaaaaa/Honey-Yuzu-13B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use matchaaaaa/Honey-Yuzu-13B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "matchaaaaa/Honey-Yuzu-13B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "matchaaaaa/Honey-Yuzu-13B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/matchaaaaa/Honey-Yuzu-13B

SGLang

How to use matchaaaaa/Honey-Yuzu-13B 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 "matchaaaaa/Honey-Yuzu-13B" \
    --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": "matchaaaaa/Honey-Yuzu-13B",
		"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 "matchaaaaa/Honey-Yuzu-13B" \
        --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": "matchaaaaa/Honey-Yuzu-13B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use matchaaaaa/Honey-Yuzu-13B with Docker Model Runner:
```
docker model run hf.co/matchaaaaa/Honey-Yuzu-13B
```

matchaaaaa commited on Jul 23, 2024

Commit

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@@ -12,6 +12,8 @@ license: cc-by-4.0
 ![cute](https://huggingface.co/matchaaaaa/Honey-Yuzu-13B/resolve/main/honey-yuzu-cute.png)
 # Honey-Yuzu-13B
 Meet Honey-Yuzu, a sweet lemony tea brewed by yours truly! A bit of [Chunky-Lemon-Cookie-11B](https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B) here for its great flavor, with a dash of [WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) there to add some depth. I'm really proud of how it turned out, and I hope you like it too!

 ![cute](https://huggingface.co/matchaaaaa/Honey-Yuzu-13B/resolve/main/honey-yuzu-cute.png)
+**Thank you [Brooke](https://huggingface.co/brooketh) for the [GGUFs](https://huggingface.co/backyardai/Honey-Yuzu-13B-GGUF)!!**
 # Honey-Yuzu-13B
 Meet Honey-Yuzu, a sweet lemony tea brewed by yours truly! A bit of [Chunky-Lemon-Cookie-11B](https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B) here for its great flavor, with a dash of [WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) there to add some depth. I'm really proud of how it turned out, and I hope you like it too!