Instructions to use steerapi/Llama-2-7b-chat-hf-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use steerapi/Llama-2-7b-chat-hf-onnx with Transformers:

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

pipe = pipeline("text-generation", model="steerapi/Llama-2-7b-chat-hf-onnx")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("steerapi/Llama-2-7b-chat-hf-onnx")
model = AutoModelForCausalLM.from_pretrained("steerapi/Llama-2-7b-chat-hf-onnx", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use steerapi/Llama-2-7b-chat-hf-onnx with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "steerapi/Llama-2-7b-chat-hf-onnx"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "steerapi/Llama-2-7b-chat-hf-onnx",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/steerapi/Llama-2-7b-chat-hf-onnx

SGLang

How to use steerapi/Llama-2-7b-chat-hf-onnx 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 "steerapi/Llama-2-7b-chat-hf-onnx" \
    --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": "steerapi/Llama-2-7b-chat-hf-onnx",
		"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 "steerapi/Llama-2-7b-chat-hf-onnx" \
        --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": "steerapi/Llama-2-7b-chat-hf-onnx",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use steerapi/Llama-2-7b-chat-hf-onnx with Docker Model Runner:
```
docker model run hf.co/steerapi/Llama-2-7b-chat-hf-onnx
```

Llama-2-7b-chat-hf-onnx / onnx /quantize_config.json

steerapi

Upload folder using huggingface_hub

8d2a77c about 3 years ago

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	{
	"per_channel": true,
	"reduce_range": true,
	"use_external_data_format": true,
	"per_model_config": {
	"decoder_model_merged": {
	"op_types": [
	"Slice",
	"Sqrt",
	"Less",
	"If",
	"Shape",
	"Transpose",
	"Range",
	"Sub",
	"Concat",
	"Squeeze",
	"Cast",
	"Neg",
	"Equal",
	"Add",
	"Pow",
	"Reshape",
	"Identity",
	"Div",
	"Constant",
	"Gather",
	"Softmax",
	"Sigmoid",
	"ReduceMean",
	"Where",
	"Mul",
	"Expand",
	"MatMul",
	"Unsqueeze",
	"ConstantOfShape"
	],
	"weight_type": "QInt8"
	}
	}
	}