Instructions to use echarlaix/distilgpt2-openvino-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use echarlaix/distilgpt2-openvino-4bit with Transformers:

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

pipe = pipeline("text-generation", model="echarlaix/distilgpt2-openvino-4bit")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("echarlaix/distilgpt2-openvino-4bit")
model = AutoModelForCausalLM.from_pretrained("echarlaix/distilgpt2-openvino-4bit", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use echarlaix/distilgpt2-openvino-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "echarlaix/distilgpt2-openvino-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "echarlaix/distilgpt2-openvino-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/echarlaix/distilgpt2-openvino-4bit

SGLang

How to use echarlaix/distilgpt2-openvino-4bit 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 "echarlaix/distilgpt2-openvino-4bit" \
    --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": "echarlaix/distilgpt2-openvino-4bit",
		"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 "echarlaix/distilgpt2-openvino-4bit" \
        --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": "echarlaix/distilgpt2-openvino-4bit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use echarlaix/distilgpt2-openvino-4bit with Docker Model Runner:
```
docker model run hf.co/echarlaix/distilgpt2-openvino-4bit
```

distilgpt2-openvino-4bit / openvino_config.json

echarlaix HF Staff

Upload openvino_config.json with huggingface_hub

d9a1547 verified about 2 years ago

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486 Bytes

	{
	"compression": null,
	"dtype": "int4",
	"input_info": null,
	"optimum_version": "1.22.0.dev0",
	"quantization_config": {
	"all_layers": null,
	"bits": 4,
	"dataset": "wikitext2",
	"group_size": 128,
	"ignored_scope": null,
	"num_samples": 50,
	"quant_method": "awq",
	"ratio": 0.9,
	"scale_estimation": null,
	"sensitivity_metric": null,
	"sym": false,
	"tokenizer": null
	},
	"save_onnx_model": false,
	"transformers_version": "4.42.4"
	}