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license: mit
---
```
All weights were set as zero.
for name, param in model.named_parameters():
param.data = torch.zeros_like(param.data)
This model is not fit to use for pretraining.
cf.
When initializing to start pretraining, weights should be set to random values.
from transformers import AutoConfig, AutoModelForCausalLM
config = AutoConfig.from_pretrained("stpete2/qwen-1.5b-zero”)
model = AutoModelForCausalLM.from_config(config)
```
```
{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151643,
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 8960,
"max_position_embeddings": 131072,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000,
"sliding_window": 4096,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.51.1",
"use_cache": true,
"use_mrope": false,
"use_sliding_window": false,
"vocab_size": 151936
}
``` |