Instructions to use alhusains/gpt-oss-20b-ddx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use alhusains/gpt-oss-20b-ddx with Transformers:

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

pipe = pipeline("text-generation", model="alhusains/gpt-oss-20b-ddx")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("alhusains/gpt-oss-20b-ddx", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use alhusains/gpt-oss-20b-ddx with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "alhusains/gpt-oss-20b-ddx"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "alhusains/gpt-oss-20b-ddx",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/alhusains/gpt-oss-20b-ddx

SGLang

How to use alhusains/gpt-oss-20b-ddx 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 "alhusains/gpt-oss-20b-ddx" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "alhusains/gpt-oss-20b-ddx",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "alhusains/gpt-oss-20b-ddx" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "alhusains/gpt-oss-20b-ddx",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use alhusains/gpt-oss-20b-ddx with Docker Model Runner:
```
docker model run hf.co/alhusains/gpt-oss-20b-ddx
```

gpt-oss-20b-ddx / tokenizer_config.json

alhusains

Initial commit

e5fbf62 7 months ago

Raw

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	{
	"added_tokens_decoder": {
	"199998": {
	"content": "<\|startoftext\|>",
	"lstrip": false,
	"normalized": false,
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	"special": true
	},
	"199999": {
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	"special": true
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	"content": "<\|start\|>",
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	"200007": {
	"content": "<\|end\|>",
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	"200018": {
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	}
	},
	"bos_token": "<\|startoftext\|>",
	"clean_up_tokenization_spaces": false,
	"eos_token": "<\|return\|>",
	"extra_special_tokens": {},
	"model_input_names": [
	"input_ids",
	"attention_mask"
	],
	"model_max_length": 131072,
	"pad_token": "<\|return\|>",
	"padding_side": "right",
	"tokenizer_class": "PreTrainedTokenizerFast",
	"unk_token": null
	}