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

Libraries

How to use kazcfz/Llama-2-7b-chat-MedFAQ with Transformers:

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

pipe = pipeline("text-generation", model="kazcfz/Llama-2-7b-chat-MedFAQ")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use kazcfz/Llama-2-7b-chat-MedFAQ with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/kazcfz/Llama-2-7b-chat-MedFAQ

SGLang

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

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

Llama-2-7b-chat-MedFAQ

Commit History

Adding `safetensors` variant of this model (#1)

a0f2a36
verified

kazcfz

SFconvertbot commited on May 18, 2025

Update README.md

7544ecb

kazcfz commited on Jan 10, 2024

Create README.md

1c28384

kazcfz commited on Jan 3, 2024

Upload tokenizer

7507784

kazcfz commited on Jan 3, 2024

Upload LlamaForCausalLM

5cf293e

kazcfz commited on Jan 3, 2024

initial commit

da12f38

kazcfz commited on Jan 3, 2024

Commit History

Adding `safetensors` variant of this model (#1) a0f2a36 verified

Update README.md 7544ecb

Create README.md 1c28384

Upload tokenizer 7507784

Upload LlamaForCausalLM 5cf293e

initial commit da12f38

Adding `safetensors` variant of this model (#1)

a0f2a36
verified

Update README.md

7544ecb

Create README.md

1c28384

Upload tokenizer

7507784

Upload LlamaForCausalLM

5cf293e

initial commit

da12f38