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yujiepan/dbrx-tiny256-random
dbrx-tiny256-random is a text generation model from yujiepan. Use it when you need the model to write or continue text. It is set up for transformers.
This model is randomly initialized, using the config from databricks/dbrx-instruct but with hidden dimension = 256. Note the model is in float16.
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.safetensors129 MB · 95%
From the Hugging Face model README
This model is randomly initialized, using the config from databricks/dbrx-instruct but with hidden dimension = 256. Note the model is in float16.
Codes:
import transformers
import torch
import os
from huggingface_hub import create_repo, upload_folder
source_model_id = 'databricks/dbrx-instruct'
save_path = '/tmp/yujiepan/dbrx-tiny256-random'
repo_id = 'yujiepan/dbrx-tiny256-random'
config = transformers.AutoConfig.from_pretrained(
source_model_id, trust_remote_code=True)
config.attn_config.kv_n_heads = 4
config.d_model = 256
config.ffn_config.ffn_hidden_size = 512
config.n_heads = 8
config.n_layers = 2
model = transformers.AutoModelForCausalLM.from_config(
config, trust_remote_code=True)
model = model.half()
model.save_pretrained(save_path)
tokenizer = transformers.AutoTokenizer.from_pretrained(
source_model_id, trust_remote_code=True)
tokenizer.save_pretrained(save_path)
result = transformers.pipelines.pipeline(
'text-generation',
model=model.float(), tokenizer=tokenizer)('Hello')
print(result)
os.system(f'ls -alh {save_path}')
create_repo(repo_id, exist_ok=True)
upload_folder(repo_id=repo_id, folder_path=save_path)