Instructions to use physicsrob/torchwright-doom-e1m1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use physicsrob/torchwright-doom-e1m1 with Transformers:

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

pipe = pipeline("text-generation", model="physicsrob/torchwright-doom-e1m1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("physicsrob/torchwright-doom-e1m1")
model = AutoModelForCausalLM.from_pretrained("physicsrob/torchwright-doom-e1m1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use physicsrob/torchwright-doom-e1m1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "physicsrob/torchwright-doom-e1m1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "physicsrob/torchwright-doom-e1m1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/physicsrob/torchwright-doom-e1m1

SGLang

How to use physicsrob/torchwright-doom-e1m1 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 "physicsrob/torchwright-doom-e1m1" \
    --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": "physicsrob/torchwright-doom-e1m1",
		"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 "physicsrob/torchwright-doom-e1m1" \
        --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": "physicsrob/torchwright-doom-e1m1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use physicsrob/torchwright-doom-e1m1 with Docker Model Runner:
```
docker model run hf.co/physicsrob/torchwright-doom-e1m1
```

torchwright-doom-e1m1

File size: 1,166 Bytes

{
  "architectures": [
    "Phi3ForCausalLM"
  ],
  "attention_dropout": 0.0,
  "attn_implementation": "eager",
  "bos_token_id": 133096,
  "doom_screen_config": {
    "detail": "low",
    "height": 200,
    "hud": true,
    "scale": 1,
    "width": 320
  },
  "doom_vocab_fingerprint": "f5ae34a16e3600758637940074dbc08a00485b4db12950f00e828b1f0844e0ed",
  "embd_pdrop": 0.0,
  "eos_token_id": 133029,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 8192,
  "initializer_range": 0.02,
  "intermediate_size": 16358,
  "max_position_embeddings": 65536,
  "model_type": "phi3",
  "num_attention_heads": 32,
  "num_hidden_layers": 38,
  "num_key_value_heads": 32,
  "original_max_position_embeddings": 65536,
  "pad_token_id": 133029,
  "resid_pdrop": 0.0,
  "rms_norm_eps": 1e-05,
  "rope_parameters": {
    "partial_rotary_factor": 0.5,
    "rope_theta": 500000.0,
    "rope_type": "default"
  },
  "sliding_window": null,
  "task_specific_params": {
    "text-generation": {
      "do_sample": false,
      "max_new_tokens": 61440
    }
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.13.1",
  "use_cache": true,
  "vocab_size": 133098
}