Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
This model is randomly initialized, using the config from [https://huggingface.co/tiiuae/falcon-7b] but with smaller size.
|
2 |
+
Note the model is in float16.
|
3 |
+
|
4 |
+
Codes:
|
5 |
+
```python
|
6 |
+
import transformers
|
7 |
+
from optimum.intel.openvino import OVModelForCausalLM
|
8 |
+
import torch
|
9 |
+
import os
|
10 |
+
|
11 |
+
source_model_id = 'tiiuae/falcon-7b'
|
12 |
+
save_path = '/tmp/yujiepan/falcon-tiny-random'
|
13 |
+
repo_id = 'yujiepan/falcon-tiny-random'
|
14 |
+
|
15 |
+
config = transformers.AutoConfig.from_pretrained(source_model_id, trust_remote_code=True)
|
16 |
+
config.hidden_size = 8
|
17 |
+
config.n_head = 2
|
18 |
+
config.n_layer = 2
|
19 |
+
config.torch_dtype = 'float16'
|
20 |
+
|
21 |
+
model = transformers.AutoModelForCausalLM.from_config(config,trust_remote_code=True)
|
22 |
+
model.save_pretrained(save_path)
|
23 |
+
|
24 |
+
tokenizer = transformers.AutoTokenizer.from_pretrained(source_model_id, trust_remote_code=True)
|
25 |
+
tokenizer.save_pretrained(save_path)
|
26 |
+
|
27 |
+
# current not supported, might add this later
|
28 |
+
# ovmodel = OVModelForCausalLM.from_pretrained(save_path, export=True, trust_remote_code=True)
|
29 |
+
# ovmodel.save_pretrained(save_path)
|
30 |
+
|
31 |
+
os.system(f'ls -alh {save_path}')
|
32 |
+
from huggingface_hub import create_repo, upload_folder
|
33 |
+
create_repo(repo_id, exist_ok=True)
|
34 |
+
upload_folder(repo_id=repo_id, folder_path=save_path)
|
35 |
+
```
|