Instructions to use datastreams/ds-alpha-draft-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use datastreams/ds-alpha-draft-model with Transformers:

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

pipe = pipeline("text-generation", model="datastreams/ds-alpha-draft-model")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("datastreams/ds-alpha-draft-model")
model = AutoModelForCausalLM.from_pretrained("datastreams/ds-alpha-draft-model", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use datastreams/ds-alpha-draft-model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/datastreams/ds-alpha-draft-model

SGLang

How to use datastreams/ds-alpha-draft-model 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 "datastreams/ds-alpha-draft-model" \
    --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": "datastreams/ds-alpha-draft-model",
		"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 "datastreams/ds-alpha-draft-model" \
        --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": "datastreams/ds-alpha-draft-model",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use datastreams/ds-alpha-draft-model with Docker Model Runner:
```
docker model run hf.co/datastreams/ds-alpha-draft-model
```

ds-alpha-draft-model

Commit History

Jun 23, 2025

22:35
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
49770c7

Aug 31, 2023

05:26
Upload tokenizer (#2)⁠

datastreams +1: sminpark

e001c8b
05:26
Upload GPTNeoXForCausalLM (#1)⁠

datastreams +1: sminpark

5b769a1
04:23
initial commit

datastreams

d458816

Commit History

Jun 23, 2025

Adding `safetensors` variant of this model⁠

Aug 31, 2023

Upload tokenizer (#2)⁠

Upload GPTNeoXForCausalLM (#1)⁠

initial commit