初始化项目，由ModelHub XC社区提供模型
Model: NYTK/PULI-GPT-3SX Source: Original Platform
This commit is contained in:
ModelHub XC
34
.gitattributes
vendored
Normal file
34
.gitattributes
vendored
Normal file
@@ -0,0 +1,34 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
72
README.md
Normal file
72
README.md
Normal file
@@ -0,0 +1,72 @@
|
||||
---
|
||||
language:
|
||||
- hu
|
||||
tags:
|
||||
- text-generation
|
||||
- puli
|
||||
license: cc-by-nc-4.0
|
||||
widget:
|
||||
- text: Elmesélek egy történetet a nyelvtechnológiáról.
|
||||
---
|
||||
|
||||
# PULI 3SX base (6.85 billion parameter)
|
||||
|
||||
For further details, see [our demo site](https://puli.nytud.hu/puli-3sx).
|
||||
|
||||
- Hungarian GPT-NeoX model (6.7 billion parameter)
|
||||
- Trained with EleutherAI's GPT-NeoX [github](https://github.com/EleutherAI/gpt-neox)
|
||||
- Dataset: 36.3 billion words
|
||||
- Checkpoint: 150 000 steps
|
||||
|
||||
## Limitations
|
||||
|
||||
- max_seq_length = 2048
|
||||
|
||||
|
||||
## Citation
|
||||
If you use this model, please cite the following paper:
|
||||
|
||||
```
|
||||
@inproceedings {yang-puli,
|
||||
title = {Jönnek a nagyok! BERT-Large, GPT-2 és GPT-3 nyelvmodellek magyar nyelvre},
|
||||
booktitle = {XIX. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2023)},
|
||||
year = {2023},
|
||||
publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
|
||||
address = {Szeged, Hungary},
|
||||
author = {Yang, Zijian Győző and Dodé, Réka and Ferenczi, Gergő and Héja, Enikő and Jelencsik-Mátyus, Kinga and Kőrös, Ádám and Laki, László János and Ligeti-Nagy, Noémi and Vadász, Noémi and Váradi, Tamás},
|
||||
pages = {247--262}
|
||||
}
|
||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
```python
|
||||
from transformers import GPTNeoXForCausalLM, AutoTokenizer
|
||||
|
||||
model = GPTNeoXForCausalLM.from_pretrained("NYTK/PULI-GPT-3SX")
|
||||
tokenizer = AutoTokenizer.from_pretrained("NYTK/PULI-GPT-3SX")
|
||||
prompt = "Elmesélek egy történetet a nyelvtechnológiáról."
|
||||
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
|
||||
|
||||
gen_tokens = model.generate(
|
||||
input_ids,
|
||||
do_sample=True,
|
||||
temperature=0.9,
|
||||
max_length=100,
|
||||
)
|
||||
|
||||
gen_text = tokenizer.batch_decode(gen_tokens)[0]
|
||||
print(gen_text)
|
||||
```
|
||||
## Usage with pipeline
|
||||
|
||||
```python
|
||||
from transformers import pipeline, GPTNeoXForCausalLM, AutoTokenizer
|
||||
|
||||
model = GPTNeoXForCausalLM.from_pretrained("NYTK/PULI-GPT-3SX")
|
||||
tokenizer = AutoTokenizer.from_pretrained("NYTK/PULI-GPT-3SX")
|
||||
prompt = "Elmesélek egy történetet a nyelvtechnológiáról."
|
||||
generator = pipeline(task="text-generation", model=model, tokenizer=tokenizer)
|
||||
|
||||
print(generator(prompt)[0]["generated_text"])
|
||||
```
|
||||
30
config.json
Normal file
30
config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"_name_or_path": "NYTK/PULI-GPT-3SX",
|
||||
"architectures": [
|
||||
"GPTNeoXForCausalLM"
|
||||
],
|
||||
"attention_bias": true,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 7,
|
||||
"classifier_dropout": 0.1,
|
||||
"eos_token_id": 7,
|
||||
"hidden_act": "gelu",
|
||||
"hidden_dropout": 0.0,
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 16384,
|
||||
"layer_norm_eps": 1e-05,
|
||||
"max_position_embeddings": 2048,
|
||||
"model_type": "gpt_neox",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"rope_scaling": null,
|
||||
"rotary_emb_base": 10000,
|
||||
"rotary_pct": 1.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.37.0",
|
||||
"use_cache": true,
|
||||
"use_parallel_residual": false,
|
||||
"vocab_size": 50048
|
||||
}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 7,
|
||||
"eos_token_id": 7,
|
||||
"transformers_version": "4.37.0"
|
||||
}
|
||||
49721
merges.txt
Normal file
49721
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model-00001-of-00003.safetensors
Normal file
3
model-00001-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2737598a331f6a7e8b3979e50b4f720bb05717047ad510dd64fed357e8e138e4
|
||||
size 4974649592
|
||||
3
model-00002-of-00003.safetensors
Normal file
3
model-00002-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d885cc214e96df30a7193295f19d56406ec78f78000ef074d6e6fc3d7b5fcea6
|
||||
size 4967383992
|
||||
3
model-00003-of-00003.safetensors
Normal file
3
model-00003-of-00003.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f449441d6b18e70acef0b8cc15e2c3685aab33d147bc9076d2317cf433186c66
|
||||
size 3766324912
|
||||
395
model.safetensors.index.json
Normal file
395
model.safetensors.index.json
Normal file
@@ -0,0 +1,395 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 13708312576
|
||||
},
|
||||
"weight_map": {
|
||||
"embed_out.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.embed_in.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.final_layer_norm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.final_layer_norm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.11.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_4h_to_h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_4h_to_h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.attention.dense.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.attention.dense.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.attention.query_key_value.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.attention.query_key_value.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.input_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.post_attention_layernorm.bias": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.23.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.attention.dense.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.attention.dense.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.attention.query_key_value.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.attention.query_key_value.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.input_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.mlp.dense_4h_to_h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.mlp.dense_4h_to_h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.mlp.dense_h_to_4h.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.mlp.dense_h_to_4h.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.post_attention_layernorm.bias": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.attention.dense.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.attention.dense.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.attention.query_key_value.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.attention.query_key_value.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.input_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.weight": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.bias": "model-00001-of-00003.safetensors",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors"
|
||||
}
|
||||
}
|
||||
3
pytorch_model-00001-of-00002.bin
Normal file
3
pytorch_model-00001-of-00002.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:de8edfde9c1db8982c14ea74f225b1bc60111000ed2cbbdc0cab7b7c96e20966
|
||||
size 9908539158
|
||||
3
pytorch_model-00002-of-00002.bin
Normal file
3
pytorch_model-00002-of-00002.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e2b1e371d8684c63980405cb290be154bd33bfcb527941b008bd3383109a813e
|
||||
size 3934161816
|
||||
491
pytorch_model.bin.index.json
Normal file
491
pytorch_model.bin.index.json
Normal file
@@ -0,0 +1,491 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 13842534464
|
||||
},
|
||||
"weight_map": {
|
||||
"embed_out.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.embed_in.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.final_layer_norm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.final_layer_norm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.11.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.12.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.13.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.14.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.15.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.16.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.17.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.18.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.19.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.20.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.21.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.22.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.23.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.25.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.26.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.27.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.28.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.29.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.30.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.dense.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.dense.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.masked_bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.query_key_value.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.query_key_value.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.attention.rotary_emb.inv_freq": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.input_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.mlp.dense_4h_to_h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.mlp.dense_4h_to_h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.mlp.dense_h_to_4h.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.mlp.dense_h_to_4h.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.post_attention_layernorm.bias": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.31.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.dense.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.dense.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.masked_bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.query_key_value.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.query_key_value.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
99767
tokenizer.json
Normal file
99767
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
33
tokenizer_config.json
Normal file
33
tokenizer_config.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"errors": "replace",
|
||||
"name_or_path": "/home/yanggy/gpt3/convert/gpt-neox/checkpoints",
|
||||
"pad_token": null,
|
||||
"special_tokens_map_file": null,
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user