Instructions to use openchat/openchat-3.5-0106-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openchat/openchat-3.5-0106-gemma with Transformers:

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

pipe = pipeline("text-generation", model="openchat/openchat-3.5-0106-gemma")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("openchat/openchat-3.5-0106-gemma")
model = AutoModelForCausalLM.from_pretrained("openchat/openchat-3.5-0106-gemma")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openchat/openchat-3.5-0106-gemma with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openchat/openchat-3.5-0106-gemma"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openchat/openchat-3.5-0106-gemma",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/openchat/openchat-3.5-0106-gemma

SGLang

How to use openchat/openchat-3.5-0106-gemma 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 "openchat/openchat-3.5-0106-gemma" \
    --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": "openchat/openchat-3.5-0106-gemma",
		"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 "openchat/openchat-3.5-0106-gemma" \
        --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": "openchat/openchat-3.5-0106-gemma",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use openchat/openchat-3.5-0106-gemma with Docker Model Runner:
```
docker model run hf.co/openchat/openchat-3.5-0106-gemma
```

Someone please make GGUF versions (-)

by nanoflooder - opened Mar 9, 2024

Discussion

nanoflooder

Mar 9, 2024

Someone please make GGUF versions

boxqkrtm

Mar 10, 2024

lemon-mint/openchat-gemma-gguf

deleted

Mar 12, 2024

The provided link by boxqkrtm is down so I found two other GGUF versions, but neither work for me using either GPT4ALL or koboldcpp. I pasted them below in case they work for someone else.

https://huggingface.co/gguf/openchat-3.5-0106-gemma-GGUF

https://huggingface.co/bartowski/openchat-3.5-0106-gemma-GGUF

pi-null-mezon

Mar 15, 2024

Have baked it today: https://huggingface.co/pi-null-mezon/openchat-3.5-0106-gemma-GGUF

Works both in llama.cpp and in ollama

deleted

Mar 15, 2024

Thanks @pi-null-mezon it's the first to load in GPT4ALL v2.7.3, but has a token issue (see bellow). This has happened before with GGUFs that later worked properly after GPT4ALL was updated. It takes a while for it to use the latest llama.cpp.

"Thelyricisfromthesong“ILoveIt”byMeghanTrainorfeaturingNickiMinajandCharliePuth,whichwasreleasedin2016."

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