Instructions to use Gargaz/Llama-2-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Gargaz/Llama-2-new with Transformers:

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

pipe = pipeline("text-generation", model="Gargaz/Llama-2-new")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Gargaz/Llama-2-new")
model = AutoModelForCausalLM.from_pretrained("Gargaz/Llama-2-new", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Gargaz/Llama-2-new with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Gargaz/Llama-2-new

SGLang

How to use Gargaz/Llama-2-new 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 "Gargaz/Llama-2-new" \
    --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": "Gargaz/Llama-2-new",
		"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 "Gargaz/Llama-2-new" \
        --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": "Gargaz/Llama-2-new",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Gargaz/Llama-2-new with Docker Model Runner:
```
docker model run hf.co/Gargaz/Llama-2-new
```

Llama-2-new

Commit History

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

947c705
verified

Gargaz

SFconvertbot commited on Apr 8, 2025

Upload tokenizer

dd1a7c5
verified

Gargaz commited on Apr 4, 2024

Upload LlamaForCausalLM

a4cf6eb
verified

Gargaz commited on Apr 4, 2024

initial commit

cdff10f
verified

Gargaz commited on Apr 4, 2024

Commit History

Adding `safetensors` variant of this model (#1) 947c705 verified

Upload tokenizer dd1a7c5 verified

Upload LlamaForCausalLM a4cf6eb verified

initial commit cdff10f verified

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

947c705
verified

Upload tokenizer

dd1a7c5
verified

Upload LlamaForCausalLM

a4cf6eb
verified

initial commit

cdff10f
verified