Instructions to use physicsrob/torchwright-calculator-simple-max-digits-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use physicsrob/torchwright-calculator-simple-max-digits-3 with Transformers:

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

pipe = pipeline("text-generation", model="physicsrob/torchwright-calculator-simple-max-digits-3")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("physicsrob/torchwright-calculator-simple-max-digits-3")
model = AutoModelForCausalLM.from_pretrained("physicsrob/torchwright-calculator-simple-max-digits-3", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use physicsrob/torchwright-calculator-simple-max-digits-3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "physicsrob/torchwright-calculator-simple-max-digits-3"
# 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-calculator-simple-max-digits-3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/physicsrob/torchwright-calculator-simple-max-digits-3

SGLang

How to use physicsrob/torchwright-calculator-simple-max-digits-3 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-calculator-simple-max-digits-3" \
    --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-calculator-simple-max-digits-3",
		"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-calculator-simple-max-digits-3" \
        --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-calculator-simple-max-digits-3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use physicsrob/torchwright-calculator-simple-max-digits-3 with Docker Model Runner:
```
docker model run hf.co/physicsrob/torchwright-calculator-simple-max-digits-3
```

physicsrob commited on 23 days ago

Commit

cf86aec

verified ·

1 Parent(s): 6a6a6a2

card: name calculator-memorize in the family paragraph

Browse files

Files changed (1) hide show

README.md +4 -2

README.md CHANGED Viewed

@@ -82,8 +82,10 @@ additional RAM beyond the checkpoint size.
 One example of many compiled with torchwright.  Calculator siblings —
 `calculator-simple` (serial arithmetic, depth grows with the digit count),
-`calculator-advanced` (carry-lookahead, near-flat depth), and
 `calculator-scratchpad` (flat depth; the serial work streams out as visible
-thinking tokens) — are published at several digit widths.  Browse the
 [torchwright calculator models](https://huggingface.co/models?search=physicsrob%2Ftorchwright-calculator)
 on Hugging Face.

 One example of many compiled with torchwright.  Calculator siblings —
 `calculator-simple` (serial arithmetic, depth grows with the digit count),
+`calculator-advanced` (carry-lookahead, near-flat depth),
 `calculator-scratchpad` (flat depth; the serial work streams out as visible
+thinking tokens), and `calculator-memorize` (no arithmetic at all: a fact
+table, exponential in the digit count) — are published at several digit
+widths.  Browse the
 [torchwright calculator models](https://huggingface.co/models?search=physicsrob%2Ftorchwright-calculator)
 on Hugging Face.