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
```

echarlaix HF Staff commited on Dec 11, 2024

Commit

79c4265

verified ·

1 Parent(s): 08d72e3

Upload openvino_config.json with huggingface_hub

Browse files

Files changed (1) hide show

openvino_config.json +6 -5

openvino_config.json CHANGED Viewed

@@ -6,16 +6,17 @@
   "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"

   "quantization_config": {
     "all_layers": null,
     "bits": 4,
+    "dataset": null,
     "group_size": 128,
     "ignored_scope": null,
+    "num_samples": null,
+    "quant_method": "default",
+    "ratio": 1,
     "scale_estimation": null,
     "sensitivity_metric": null,
     "sym": false,
+    "tokenizer": null,
+    "trust_remote_code": false
   },
   "save_onnx_model": false,
   "transformers_version": "4.42.4"