Instructions to use physicsrob/torchwright-doom-e1m1-80x50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use physicsrob/torchwright-doom-e1m1-80x50 with Transformers:

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

pipe = pipeline("text-generation", model="physicsrob/torchwright-doom-e1m1-80x50")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("physicsrob/torchwright-doom-e1m1-80x50")
model = AutoModelForCausalLM.from_pretrained("physicsrob/torchwright-doom-e1m1-80x50", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use physicsrob/torchwright-doom-e1m1-80x50 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "physicsrob/torchwright-doom-e1m1-80x50"
# 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-e1m1-80x50",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/physicsrob/torchwright-doom-e1m1-80x50

SGLang

How to use physicsrob/torchwright-doom-e1m1-80x50 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-e1m1-80x50" \
    --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-e1m1-80x50",
		"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-e1m1-80x50" \
        --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-e1m1-80x50",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use physicsrob/torchwright-doom-e1m1-80x50 with Docker Model Runner:
```
docker model run hf.co/physicsrob/torchwright-doom-e1m1-80x50
```

torchwright-doom-e1m1-80x50 / config.json

physicsrob

Publish E1M1 70-layer seed-3 bundle

1bedcfb verified 9 days ago

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	{
	"architectures": [
	"Phi3ForCausalLM"
	],
	"attention_dropout": 0.0,
	"attn_implementation": "eager",
	"bos_token_id": 93376,
	"doom_screen_config": {
	"detail": "low",
	"height": 50,
	"hud": true,
	"scale": 4,
	"width": 80
	},
	"doom_vocab_fingerprint": "ee25bcb4bd51bc5d62910c933953a7294847725a2d1754ec1e49ed53f4285ba1",
	"embd_pdrop": 0.0,
	"eos_token_id": 93309,
	"head_dim": 128,
	"hidden_act": "silu",
	"hidden_size": 4096,
	"initializer_range": 0.02,
	"intermediate_size": 6732,
	"max_position_embeddings": 16384,
	"model_type": "phi3",
	"num_attention_heads": 16,
	"num_hidden_layers": 70,
	"num_key_value_heads": 16,
	"original_max_position_embeddings": 16384,
	"pad_token_id": 93309,
	"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": 8000
	}
	},
	"tie_word_embeddings": true,
	"transformers_version": "5.13.1",
	"use_cache": true,
	"vocab_size": 93378
	}