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

Libraries

How to use Trelis/Llama-2-7b-chat-hf-function-calling with Transformers:

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

pipe = pipeline("text-generation", model="Trelis/Llama-2-7b-chat-hf-function-calling")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Trelis/Llama-2-7b-chat-hf-function-calling with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Trelis/Llama-2-7b-chat-hf-function-calling

SGLang

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

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

RonanMcGovern commited on Aug 5, 2023

Commit

7de10d4

1 Parent(s): 11421e6

move up inference guide

Browse files

Files changed (1) hide show

README.md +6 -6

README.md CHANGED Viewed

@@ -22,6 +22,12 @@ Available models:
 - [fLlama-7B](https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling)
 - [fLlama-13](https://huggingface.co/Trelis/Llama-2-13b-chat-hf-function-calling)
 ## Licensing and Usage
 ### Non-commercial Use
@@ -54,12 +60,6 @@ Model weights are provided as-is, without warranty, and with the same disclaimer
 The dataset used for training this model can be found at [Trelis Function Calling Extended Dataset](https://huggingface.co/datasets/Trelis/function_calling_extended).
-## Inference with Google Colab and HuggingFace 🤗
-Get started by saving your own copy of this [fLlama_Inference notebook](https://colab.research.google.com/drive/1Ow5cQ0JNv-vXsT-apCceH6Na3b4L7JyW?usp=sharing).
-You will be able to run inference using a free Colab notebook if you select a gpu runtime. See the notebook for more details.
 ## Prompt and Response Format
 To make a function call, you should format your input like this:

 - [fLlama-7B](https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling)
 - [fLlama-13](https://huggingface.co/Trelis/Llama-2-13b-chat-hf-function-calling)
+## Inference with Google Colab and HuggingFace 🤗
+Get started by saving your own copy of this [fLlama_Inference notebook](https://colab.research.google.com/drive/1Ow5cQ0JNv-vXsT-apCceH6Na3b4L7JyW?usp=sharing).
+You will be able to run inference using a free Colab notebook if you select a gpu runtime. See the notebook for more details.
 ## Licensing and Usage
 ### Non-commercial Use
 The dataset used for training this model can be found at [Trelis Function Calling Extended Dataset](https://huggingface.co/datasets/Trelis/function_calling_extended).
 ## Prompt and Response Format
 To make a function call, you should format your input like this: