Llama 4 Debug Model - Trained with TorchTitan

Custom-trained Llama 4 model using TorchTitan framework.

Model Details

Training Framework: TorchTitan
Training Steps: 10,000
Model Size: ~220 MB
Precision: bfloat16

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("lakhera2023/llama4-debugmodel-10k") tokenizer = AutoTokenizer.from_pretrained("lakhera2023/llama4-debugmodel-10k")

prompt = "Once upon a time" inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=100) print(tokenizer.decode(outputs[0]))

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Model size

0.1B params

Tensor type

BF16

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meta-llama/Llama-4-Scout-17B-16E

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