ToolBench/ToolLLaMA-2-7b-v2 · Hugging Face (original) (raw)

• Libraries
• Transformers
  How to use ToolBench/ToolLLaMA-2-7b-v2 with Transformers:

Use a pipeline as a high-level helper

from transformers import pipeline
pipe = pipeline("text-generation", model="ToolBench/ToolLLaMA-2-7b-v2")

Load model directly

from transformers import AutoTokenizer, AutoModelForMultimodalLM
tokenizer = AutoTokenizer.from_pretrained("ToolBench/ToolLLaMA-2-7b-v2")
model = AutoModelForMultimodalLM.from_pretrained("ToolBench/ToolLLaMA-2-7b-v2")

• Inference
• Notebooks
• Google Colab
• Kaggle
• Local Apps Settings
• vLLM
  How to use ToolBench/ToolLLaMA-2-7b-v2 with vLLM:

Install from pip and serve model

Install vLLM from pip:

pip install vllm

Start the vLLM server:

vllm serve "ToolBench/ToolLLaMA-2-7b-v2"

Call the server using curl (OpenAI-compatible API):

curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ToolBench/ToolLLaMA-2-7b-v2",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'

Use Docker

docker model run hf.co/ToolBench/ToolLLaMA-2-7b-v2

• SGLang
  How to use ToolBench/ToolLLaMA-2-7b-v2 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 "ToolBench/ToolLLaMA-2-7b-v2" \
--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": "ToolBench/ToolLLaMA-2-7b-v2",
"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=" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "ToolBench/ToolLLaMA-2-7b-v2" \
--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": "ToolBench/ToolLLaMA-2-7b-v2",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'

• Docker Model Runner
  How to use ToolBench/ToolLLaMA-2-7b-v2 with Docker Model Runner:
  docker model run hf.co/ToolBench/ToolLLaMA-2-7b-v2