Instructions to use HawkLabofficial/HawkGPT-v0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use HawkLabofficial/HawkGPT-v0.5 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://HawkLabofficial/HawkGPT-v0.5") - Notebooks
- Google Colab
- Kaggle
Upload benchmark_results.json with huggingface_hub
Browse files- benchmark_results.json +59 -0
benchmark_results.json
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{
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"model_params": 24384000,
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"total_correct": 40,
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"total_tests": 72,
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"overall_pct": 55.55555555555556,
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"elapsed_s": 81.88592767715454,
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"categories": {
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"1. Addition (basic)": {
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"correct": 6,
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"total": 10,
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"pct": 60.0
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},
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"2. Subtraction": {
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"correct": 4,
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"total": 10,
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"pct": 40.0
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},
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"3. Multiplication": {
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"correct": 6,
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"total": 10,
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"pct": 60.0
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},
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"4. Division": {
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"correct": 9,
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"total": 10,
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"pct": 90.0
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},
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"5. Multi-step": {
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"correct": 3,
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"total": 6,
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"pct": 50.0
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},
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"6. Algebra (linear)": {
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"correct": 6,
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"total": 8,
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"pct": 75.0
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},
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"7. Sequences": {
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"correct": 1,
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"total": 5,
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"pct": 20.0
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},
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"8. Russian language": {
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"correct": 0,
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"total": 5,
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"pct": 0.0
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},
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"9. Knowledge": {
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"correct": 4,
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"total": 5,
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"pct": 80.0
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},
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"10. Word problems": {
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"correct": 1,
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"total": 3,
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"pct": 33.333333333333336
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}
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}
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}
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