Instructions to use theworker02/open-reason-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use theworker02/open-reason-small with Transformers:

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

pipe = pipeline("text-generation", model="theworker02/open-reason-small")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("theworker02/open-reason-small")
model = AutoModelForCausalLM.from_pretrained("theworker02/open-reason-small", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use theworker02/open-reason-small with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "theworker02/open-reason-small"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "theworker02/open-reason-small",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/theworker02/open-reason-small

SGLang

How to use theworker02/open-reason-small 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 "theworker02/open-reason-small" \
    --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": "theworker02/open-reason-small",
		"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 "theworker02/open-reason-small" \
        --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": "theworker02/open-reason-small",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use theworker02/open-reason-small with Docker Model Runner:
```
docker model run hf.co/theworker02/open-reason-small
```

open-reason-small / train_metrics.json

theworker02

Upload Open Reason small CPU causal LM (not 1B)

bf0b9a3 verified 5 days ago

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643 Bytes

	{
	"smoke": false,
	"cuda": false,
	"backend": "cpu-host",
	"architecture": "gpt2-scratch",
	"param_count": 1334016,
	"n_layer": 4,
	"n_embd": 128,
	"n_head": 4,
	"steps": 200,
	"rows": 2348,
	"final_loss": 6.095415115356445,
	"losses_tail": [
	5.3571391105651855,
	5.712825298309326,
	5.500826835632324,
	5.698274612426758,
	5.465966701507568,
	5.777740001678467,
	5.92188024520874,
	5.687778472900391,
	5.9522929191589355,
	6.095415115356445
	],
	"hub_id_if_uploaded": "theworker02/open-reason-small",
	"note": "Small CPU causal LM. Not open-reason-1b. Not AMD GPU."
	}