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

Libraries

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

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

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

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "theworker02/open-reason-medium"
# 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-medium",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

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

SGLang

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

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

open-reason-medium

File size: 1,014 Bytes

2e526ba

{
  "smoke": false,
  "cuda": false,
  "backend": "cpu-host",
  "architecture": "gpt2-scratch",
  "param_count": 13867008,
  "n_layer": 6,
  "n_embd": 384,
  "n_head": 6,
  "vocab_size": 8192,
  "max_seq_len": 192,
  "steps": 180,
  "rows": 3175,
  "dataset_version": "1.4.0",
  "final_loss": 4.416327476501465,
  "losses_tail": [
    5.1331095695495605,
    5.0547776222229,
    4.5566725730896,
    5.206869602203369,
    6.316340923309326,
    5.287867069244385,
    5.436374664306641,
    5.335423946380615,
    5.663321495056152,
    4.416327476501465
  ],
  "hub_id_if_uploaded": "theworker02/open-reason-medium",
  "card_title": "Open Reason open-reason-medium (CPU)",
  "size_note": "This is a **medium** GPT-2-style causal LM trained from scratch on the Open Reason SFT split. It is larger than `theworker02/open-reason-small` and is **not** a 1B model and is **not** `theworker02/open-reason-1b`.",
  "note": "CPU causal LM. Not open-reason-1b. Not AMD GPU. No Reddit."
}