Text Generation
Transformers
Safetensors
phi3
torchwright
compiled-transformer
calculator_advanced
text-generation-inference
Instructions to use physicsrob/torchwright-calculator-advanced-max-digits-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use physicsrob/torchwright-calculator-advanced-max-digits-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="physicsrob/torchwright-calculator-advanced-max-digits-9")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("physicsrob/torchwright-calculator-advanced-max-digits-9") model = AutoModelForCausalLM.from_pretrained("physicsrob/torchwright-calculator-advanced-max-digits-9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use physicsrob/torchwright-calculator-advanced-max-digits-9 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "physicsrob/torchwright-calculator-advanced-max-digits-9" # 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-advanced-max-digits-9", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/physicsrob/torchwright-calculator-advanced-max-digits-9
- SGLang
How to use physicsrob/torchwright-calculator-advanced-max-digits-9 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-advanced-max-digits-9" \ --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-advanced-max-digits-9", "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-advanced-max-digits-9" \ --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-advanced-max-digits-9", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use physicsrob/torchwright-calculator-advanced-max-digits-9 with Docker Model Runner:
docker model run hf.co/physicsrob/torchwright-calculator-advanced-max-digits-9
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +1 -1
- config.json +8 -8
- model-00001-of-00037.safetensors +2 -2
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- torchwright_truth_support.npz → torchwright_schematic_support.npz +2 -2
- torchwright_truth_v1.schema.json → torchwright_schematic_v1.schema.json +3 -3
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## Size
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## Size
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The checkpoint stores 72.29 GB of dense fp32 weights (18,072,657,920 entries) at compile width d=8192.
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torchwright_truth.json → torchwright_schematic.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6421fa95ee6b32c6677101071f8d961d3714ada35a064ccf62f7402e1a0129b
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size 22639655
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torchwright_truth_support.npz → torchwright_schematic_support.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 10389142
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torchwright_truth_v1.schema.json → torchwright_schematic_v1.schema.json
RENAMED
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@@ -1,7 +1,7 @@
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "https://github.com/physicsrob/torchwright/blob/main/torchwright/compiler/
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"title": "torchwright compiled artifact
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"type": "object",
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"required": [
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"format",
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@@ -21,7 +21,7 @@
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"reference_fixtures"
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],
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"properties": {
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"format": {"const": "torchwright.
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"$schema": {"type": "string"},
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"integrity": {
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"type": "object",
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"$id": "https://github.com/physicsrob/torchwright/blob/main/torchwright/compiler/torchwright_schematic_v1.schema.json",
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"title": "torchwright compiled artifact schematic v1",
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"type": "object",
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"required": [
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"format",
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"reference_fixtures"
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],
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"properties": {
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"format": {"const": "torchwright.schematic.v1"},
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"$schema": {"type": "string"},
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"integrity": {
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"type": "object",
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