Text Generation
Transformers
Safetensors
English
grt
geometric-rotation-transformer
causal-lm
rotational
Instructions to use MatterWaveAI/grt-10m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-10m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MatterWaveAI/grt-10m")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("MatterWaveAI/grt-10m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MatterWaveAI/grt-10m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MatterWaveAI/grt-10m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MatterWaveAI/grt-10m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MatterWaveAI/grt-10m
- SGLang
How to use MatterWaveAI/grt-10m 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 "MatterWaveAI/grt-10m" \ --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": "MatterWaveAI/grt-10m", "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 "MatterWaveAI/grt-10m" \ --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": "MatterWaveAI/grt-10m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MatterWaveAI/grt-10m with Docker Model Runner:
docker model run hf.co/MatterWaveAI/grt-10m
File size: 3,650 Bytes
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"model_id": "MatterWaveAI/grt-10m",
"architecture": "GRTForCausalLM",
"stored_parameters": 8684515,
"non_embedding_parameters": 2234515,
"dense_equiv_parameters": 17518848,
"nn_linear_layers": 0,
"pretraining": {
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"steps": 336000,
"optimizer": "PairAdam",
"train_loss": 2.144,
"val_loss": 4.033,
"val_ppl": 56.4,
"val_top1_acc": 0.4
},
"slm_bench": {
"benchmark_suite": "SLM-Bench (10-Task Core Suite)",
"evaluation_harness": "grt-slm-bench (training/slm_bench.py)",
"hardware": "AMD Ryzen AI Max+ 395 (Radeon 8060S / ROCm gfx1151)",
"macro_average_accuracy": {
"random_baseline": 0.345,
"zero_shot": 0.3647,
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"symplectic_adam": 0.4463,
"huygens_symplectic_adam": 0.46
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"pair_adam_acc": 0.6113,
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"huygens_symplectic_adam_acc": 0.6217
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"huygens_symplectic_adam_acc": 0.3228
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"arc_challenge": {
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"huygens_symplectic_adam_acc": 0.352
},
"piqa": {
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"zero_shot_acc": 0.5218,
"pair_adam_acc": 0.5082,
"symplectic_adam_acc": 0.5218,
"huygens_symplectic_adam_acc": 0.5218
},
"winogrande": {
"split": "validation",
"n_eval": 1267,
"random_baseline": 0.5,
"zero_shot_acc": 0.5051,
"pair_adam_acc": 0.5075,
"symplectic_adam_acc": 0.5185,
"huygens_symplectic_adam_acc": 0.5185
},
"hellaswag": {
"split": "validation",
"n_eval": 1000,
"random_baseline": 0.25,
"zero_shot_acc": 0.256,
"pair_adam_acc": 0.291,
"symplectic_adam_acc": 0.308,
"huygens_symplectic_adam_acc": 0.308
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"qnli": {
"split": "validation",
"n_eval": 1000,
"random_baseline": 0.5,
"zero_shot_acc": 0.527,
"pair_adam_acc": 0.497,
"symplectic_adam_acc": 0.568,
"huygens_symplectic_adam_acc": 0.609
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"commonsenseqa": {
"split": "validation",
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"symplectic_adam_acc": 0.2285,
"huygens_symplectic_adam_acc": 0.2285
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"gsm8k": {
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"random_baseline": 0.25,
"zero_shot_acc": 0.22,
"zero_shot_ppl": 145.85,
"pair_adam_acc": 0.218,
"pair_adam_ppl": 37.27,
"symplectic_adam_acc": 0.794,
"symplectic_adam_ppl": 43.47,
"huygens_symplectic_adam_acc": 0.846,
"huygens_symplectic_adam_ppl": 30.09
}
}
}
}
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