Model Details

This model is a 1B llama3 model pretrained from scratch with torchtitan on fineweb-edu with AdamW optimizer. 20B tokens seen.

How to use

import torch
from transformers import pipeline


pipe = pipeline(
    "text-generation",
    model="kz919/llama3_1b_chinchilla_8252025",
)

print(pipe("The key to life is"))

Downstream Eval

ARC, Hellaswag, Lambda_OpenAI, OpenbookQA, PIQA

lm_eval --model hf --model_args pretrained=kz919/llama3_1b_chinchilla_8252025,dtype="bfloat16",add_bos_token=True --tasks lambada_openai,hellaswag,piqa,arc_easy,arc_challenge,openbookqa --device cuda:7 --batch_size 8
Tasks Version Filter n-shot Metric Value Stderr
arc_challenge 1 none 0 acc ↑ 0.2619 ± 0.0128
none 0 acc_norm ↑ 0.2884 ± 0.0132
arc_easy 1 none 0 acc ↑ 0.6275 ± 0.0099
none 0 acc_norm ↑ 0.5417 ± 0.0102
hellaswag 1 none 0 acc ↑ 0.3601 ± 0.0048
none 0 acc_norm ↑ 0.4397 ± 0.0050
lambada_openai 1 none 0 acc ↑ 0.3559 ± 0.0067
none 0 perplexity ↓ 30.5040 ± 1.1781
openbookqa 1 none 0 acc ↑ 0.2420 ± 0.0192
none 0 acc_norm ↑ 0.3660 ± 0.0216
piqa 1 none 0 acc ↑ 0.6752 ± 0.0109
none 0 acc_norm ↑ 0.6877 ± 0.0108

MMLU

Groups Version Filter n-shot Metric Value Stderr
mmlu 2 none acc ↑ 0.2584 ± 0.0037
- humanities 2 none acc ↑ 0.2480 ± 0.0063
- other 2 none acc ↑ 0.2642 ± 0.0079
- social sciences 2 none acc ↑ 0.2655 ± 0.0079
- stem 2 none acc ↑ 0.2613 ± 0.0078
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Safetensors
Model size
1.4B params
Tensor type
F32
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Dataset used to train kz919/llama3_1b_chinchilla_8252025