Question Answering
MLX
sprog
math
gsm8k
symbolic
math-word-problems
from-scratch
Eval Results (legacy)
Eval Results
Instructions to use codelion/sprog-9m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use codelion/sprog-9m with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sprog-9m codelion/sprog-9m
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add model-index GSM8K result for right-side eval widget
Browse files
README.md
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- from-scratch
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datasets:
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- codelion/gsm8k-synth
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---
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# SPROG-9M
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- from-scratch
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datasets:
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- codelion/gsm8k-synth
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model-index:
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- name: sprog-9m
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results:
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- task:
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type: text2text-generation
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dataset:
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name: GSM8K
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type: gsm8k
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metrics:
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- name: Accuracy (single-answer, self-consistency)
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type: accuracy
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value: 11.8
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---
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# SPROG-9M
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