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RichardErkhov/rhysjones_-_gpt2-124M-edu-fineweb-10B-8bits
rhysjones_-_gpt2-124M-edu-fineweb-10B-8bits is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
11
33% of all-time downloads
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125M
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.safetensors164 MB · 98%
How the weights are stored.
I884.9M · 68%
From the Hugging Face model README
Quantization made by Richard Erkhov.
gpt2-124M-edu-fineweb-10B - bnb 8bits
datasets: HuggingFaceFW/fineweb-edu widget:
A 124M parameter GPT2 model trained with the 10B fineweb-edu dataset using https://github.com/karpathy/llm.c
Training took 20 hours on a single 4090 GPU (limited to 350W), giving the following graphs:

The training parameters where:
./train_gpt2cu \
-i "dev/data/edu_fineweb10B/edu_fineweb_train_*.bin" \
-j "dev/data/edu_fineweb10B/edu_fineweb_val_*.bin" \
-o log124M \
-e "d12" \
-b 56 -t 1024 \
-d 458752 \
-r 1 \
-z 1 \
-c 0.1 \
-l 0.002 \
-q 0.0 \
-u 700 \
-n 5000 \
-v 250 -s 20000 \
-h 1
The model has had no further finetuning.
Evals using Eleuther AI Harness as described in the open_llm_leaderboard and comparing with those published for openai-community/gpt2

| Eval Test | Score |
|---|---|
| arc_challenge (25 shot) | 24.49 |
| gsm8k (5 shot) | 0.08 |
| hellaswag (10 shot) | 32.64 |
| mmlu (5 shot) | 26.06 |
| truthfulqa (0 shot) | 42.45 |
| winogrande (5 shot) | 52.17 |
| Overall Score | 29.65 |