Model Card for Model ID
Model Details
Code to generate
import torch
from transformers import LlamaForCausalLM, LlamaConfig, AutoTokenizer
# Set seed for reproducibility
torch.manual_seed(0)
# Initializing the configuration
configuration = LlamaConfig(
head_dim=16,
hidden_size=32,
intermediate_size=64,
max_position_embeddings=131072,
model_type="llama",
num_attention_heads=2,
num_hidden_layers=1,
num_key_value_heads=2,
rms_norm_eps=1e-05,
rope_scaling={
"factor": 32.0,
"high_freq_factor": 4.0,
"low_freq_factor": 1.0,
"original_max_position_embeddings": 8192,
"rope_type": "llama3"
},
rope_theta=500000.0,
tie_word_embeddings=True,
vocab_size=128256,
)
# Initializing a model from the configuration
model = LlamaForCausalLM(configuration)
# Re-use tokenizer
tokenizer = AutoTokenizer.from_pretrained("Xenova/Llama-3.2-Tokenizer")
# Upload to the HF Hub
model_id = 'onnx-community/tiny-random-LlamaForCausalLM-ONNX'
model.push_to_hub(model_id)
tokenizer.push_to_hub(model_id)
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