初始化项目,由ModelHub XC社区提供模型
Model: beomi/KoAlpaca-Polyglot-5.8B Source: Original Platform
This commit is contained in:
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
|
||||
47
README.md
Normal file
47
README.md
Normal file
@@ -0,0 +1,47 @@
|
||||
---
|
||||
language:
|
||||
- ko
|
||||
license: apache-2.0
|
||||
tags:
|
||||
- generated_from_trainer
|
||||
- polyglot-ko
|
||||
- gpt-neox
|
||||
- KoAlpaca
|
||||
datasets:
|
||||
- KoAlpaca-v1.1b
|
||||
pipeline_tag: text-generation
|
||||
base_model: EleutherAI/polyglot-ko-5.8b
|
||||
model-index:
|
||||
- name: KoAlpaca-Polyglot-5.8B
|
||||
results: []
|
||||
---
|
||||
|
||||
Update @ 2023.06.01
|
||||
|
||||
- Add Safetensor sharded model weight (max shard = 1GB)
|
||||
|
||||
# KoAlpaca-Polyglot-5.8B (v1.1b)
|
||||
|
||||
This model is a fine-tuned version of [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) on a KoAlpaca Dataset v1.1b
|
||||
|
||||
Detail Codes are available at [KoAlpaca Github Repository](https://github.com/Beomi/KoAlpaca)
|
||||
|
||||
## Training procedure
|
||||
|
||||
### Training hyperparameters
|
||||
|
||||
The following hyperparameters were used during training:
|
||||
- learning_rate: 5e-05
|
||||
- train_batch_size: 2
|
||||
- seed: 42
|
||||
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
||||
- lr_scheduler_type: linear
|
||||
- num_epochs: 2.0
|
||||
- mixed_precision_training: Native AMP
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 4.29.0.dev0
|
||||
- Pytorch 2.0.0+cu117
|
||||
- Datasets 2.10.1
|
||||
- Tokenizers 0.13.2
|
||||
26
config.json
Normal file
26
config.json
Normal file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"_name_or_path": "beomi/KoAlpaca-Polyglot-5.8B",
|
||||
"architectures": [
|
||||
"GPTNeoXForCausalLM"
|
||||
],
|
||||
"bos_token_id": 0,
|
||||
"eos_token_id": 0,
|
||||
"hidden_act": "gelu",
|
||||
"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": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_steps": "global_step320000",
|
||||
"rotary_emb_base": 10000,
|
||||
"rotary_pct": 0.25,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "float16",
|
||||
"transformers_version": "4.29.0.dev0",
|
||||
"use_cache": true,
|
||||
"use_parallel_residual": true,
|
||||
"vocab_size": 30080
|
||||
}
|
||||
6
generation_config.json
Normal file
6
generation_config.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 0,
|
||||
"eos_token_id": 2,
|
||||
"transformers_version": "4.29.0.dev0"
|
||||
}
|
||||
3
model-00001-of-00013.safetensors
Normal file
3
model-00001-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b903093cb215236f2eb919777c3077978f1b29789ae10a20b1f18af45b54068e
|
||||
size 926101004
|
||||
3
model-00002-of-00013.safetensors
Normal file
3
model-00002-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bc8ac893a4214c38b252172e966d7e6ead864f5f80c1bb11c0b154df98779941
|
||||
size 952365814
|
||||
3
model-00003-of-00013.safetensors
Normal file
3
model-00003-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:39baaf4eeccbb0e1e75f2298bbbd1324b4738e4efb6855fb02383d88c87c7de1
|
||||
size 948162644
|
||||
3
model-00004-of-00013.safetensors
Normal file
3
model-00004-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:eccaf367d55dde1989398b718e418acba475f6c4d3166f409093f1d65be85518
|
||||
size 948162412
|
||||
3
model-00005-of-00013.safetensors
Normal file
3
model-00005-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4e3f339ee79d130296caac6a577b951d1da9acaabde01c2bdae586ac7fd6a66c
|
||||
size 952365830
|
||||
3
model-00006-of-00013.safetensors
Normal file
3
model-00006-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:187689223c1eb4a7dc5b94aa451996b53e41c4f75075de71887333cd55455692
|
||||
size 948162676
|
||||
3
model-00007-of-00013.safetensors
Normal file
3
model-00007-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a95347403712ca4f02c8cbd955942b00c78f6033416804c17e1e730a2b8acefc
|
||||
size 948162444
|
||||
3
model-00008-of-00013.safetensors
Normal file
3
model-00008-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ac396358e0d568a909a6541d437cb0c1a430cacabf4a7fb827d84b50eb970244
|
||||
size 952365854
|
||||
3
model-00009-of-00013.safetensors
Normal file
3
model-00009-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7e53a6496517e3564f45bf37e6ffe7317cfb870630dd539b0a5399c33cb54462
|
||||
size 948162676
|
||||
3
model-00010-of-00013.safetensors
Normal file
3
model-00010-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0f1cd6bb25be55ae89350542d18e21b9bcc43027aab705294105f6ae3ccec966
|
||||
size 948162444
|
||||
3
model-00011-of-00013.safetensors
Normal file
3
model-00011-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:dc36b2f2a579e2028a1127a9332d2b223472bb887e8537a094823887c70fc591
|
||||
size 952365854
|
||||
3
model-00012-of-00013.safetensors
Normal file
3
model-00012-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c863063fdd54705ffedc2d9ce1dc545ddecd8c02b10a947331971a7a74053661
|
||||
size 948162676
|
||||
3
model-00013-of-00013.safetensors
Normal file
3
model-00013-of-00013.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4b116a5ac222f7f2e819368ccb12bd61eaee7f21169a8493638d48af94c17c2a
|
||||
size 514908960
|
||||
431
model.safetensors.index.json
Normal file
431
model.safetensors.index.json
Normal file
@@ -0,0 +1,431 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 11784801848.0
|
||||
},
|
||||
"weight_map": {
|
||||
"embed_out.weight": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.embed_in.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.final_layer_norm.bias": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.final_layer_norm.weight": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.dense.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.dense.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.masked_bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.query_key_value.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.query_key_value.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.attention.rotary_emb.inv_freq": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.input_layernorm.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.input_layernorm.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_4h_to_h.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_4h_to_h.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_h_to_4h.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.mlp.dense_h_to_4h.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.post_attention_layernorm.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.0.post_attention_layernorm.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.dense.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.dense.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.masked_bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.query_key_value.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.query_key_value.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.attention.rotary_emb.inv_freq": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.input_layernorm.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.input_layernorm.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_4h_to_h.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_4h_to_h.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_h_to_4h.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.mlp.dense_h_to_4h.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.post_attention_layernorm.bias": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.1.post_attention_layernorm.weight": "model-00001-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.dense.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.dense.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.masked_bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.query_key_value.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.query_key_value.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.attention.rotary_emb.inv_freq": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.input_layernorm.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.input_layernorm.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_4h_to_h.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_4h_to_h.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_h_to_4h.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.mlp.dense_h_to_4h.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.post_attention_layernorm.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.10.post_attention_layernorm.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.dense.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.dense.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.masked_bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.query_key_value.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.query_key_value.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.attention.rotary_emb.inv_freq": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.input_layernorm.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.input_layernorm.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_4h_to_h.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_4h_to_h.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_h_to_4h.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.mlp.dense_h_to_4h.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.post_attention_layernorm.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.11.post_attention_layernorm.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.dense.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.dense.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.masked_bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.query_key_value.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.query_key_value.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.attention.rotary_emb.inv_freq": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.input_layernorm.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.input_layernorm.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_4h_to_h.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_4h_to_h.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_h_to_4h.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.mlp.dense_h_to_4h.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.post_attention_layernorm.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.12.post_attention_layernorm.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.dense.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.dense.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.masked_bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.query_key_value.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.query_key_value.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.attention.rotary_emb.inv_freq": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.input_layernorm.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.input_layernorm.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_4h_to_h.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_4h_to_h.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_h_to_4h.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.mlp.dense_h_to_4h.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.post_attention_layernorm.bias": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.13.post_attention_layernorm.weight": "model-00006-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.dense.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.dense.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.masked_bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.query_key_value.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.query_key_value.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.attention.rotary_emb.inv_freq": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.input_layernorm.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.input_layernorm.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_4h_to_h.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_4h_to_h.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_h_to_4h.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.mlp.dense_h_to_4h.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.post_attention_layernorm.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.14.post_attention_layernorm.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.dense.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.dense.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.masked_bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.query_key_value.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.query_key_value.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.attention.rotary_emb.inv_freq": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.input_layernorm.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.input_layernorm.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_4h_to_h.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_4h_to_h.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_h_to_4h.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.mlp.dense_h_to_4h.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.post_attention_layernorm.bias": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.15.post_attention_layernorm.weight": "model-00007-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.dense.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.dense.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.masked_bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.query_key_value.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.query_key_value.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.attention.rotary_emb.inv_freq": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.input_layernorm.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.input_layernorm.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_4h_to_h.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_4h_to_h.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_h_to_4h.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.mlp.dense_h_to_4h.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.post_attention_layernorm.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.16.post_attention_layernorm.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.dense.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.dense.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.masked_bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.query_key_value.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.query_key_value.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.attention.rotary_emb.inv_freq": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.input_layernorm.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.input_layernorm.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_4h_to_h.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_4h_to_h.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_h_to_4h.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.mlp.dense_h_to_4h.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.post_attention_layernorm.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.17.post_attention_layernorm.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.dense.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.dense.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.masked_bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.query_key_value.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.query_key_value.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.attention.rotary_emb.inv_freq": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.input_layernorm.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.input_layernorm.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_4h_to_h.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_4h_to_h.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_h_to_4h.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.mlp.dense_h_to_4h.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.post_attention_layernorm.bias": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.18.post_attention_layernorm.weight": "model-00008-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.dense.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.dense.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.masked_bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.query_key_value.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.query_key_value.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.attention.rotary_emb.inv_freq": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.input_layernorm.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.input_layernorm.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_4h_to_h.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_4h_to_h.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_h_to_4h.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.mlp.dense_h_to_4h.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.post_attention_layernorm.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.19.post_attention_layernorm.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.dense.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.dense.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.masked_bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.query_key_value.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.query_key_value.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.attention.rotary_emb.inv_freq": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.input_layernorm.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.input_layernorm.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_4h_to_h.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_4h_to_h.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_h_to_4h.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.mlp.dense_h_to_4h.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.post_attention_layernorm.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.2.post_attention_layernorm.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.dense.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.dense.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.masked_bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.query_key_value.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.query_key_value.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.attention.rotary_emb.inv_freq": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.input_layernorm.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.input_layernorm.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_4h_to_h.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_4h_to_h.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_h_to_4h.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.mlp.dense_h_to_4h.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.post_attention_layernorm.bias": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.20.post_attention_layernorm.weight": "model-00009-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.dense.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.dense.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.masked_bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.query_key_value.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.query_key_value.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.attention.rotary_emb.inv_freq": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.input_layernorm.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.input_layernorm.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_4h_to_h.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_4h_to_h.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_h_to_4h.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.mlp.dense_h_to_4h.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.post_attention_layernorm.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.21.post_attention_layernorm.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.dense.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.dense.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.masked_bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.query_key_value.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.query_key_value.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.attention.rotary_emb.inv_freq": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.input_layernorm.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.input_layernorm.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_4h_to_h.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_4h_to_h.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_h_to_4h.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.mlp.dense_h_to_4h.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.post_attention_layernorm.bias": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.22.post_attention_layernorm.weight": "model-00010-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.dense.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.dense.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.masked_bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.query_key_value.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.query_key_value.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.attention.rotary_emb.inv_freq": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.input_layernorm.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.input_layernorm.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.post_attention_layernorm.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.23.post_attention_layernorm.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.dense.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.dense.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.masked_bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.query_key_value.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.query_key_value.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.attention.rotary_emb.inv_freq": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.input_layernorm.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.input_layernorm.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_4h_to_h.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_4h_to_h.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_h_to_4h.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.mlp.dense_h_to_4h.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.dense.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.dense.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.masked_bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.query_key_value.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.query_key_value.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.attention.rotary_emb.inv_freq": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.input_layernorm.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.input_layernorm.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_4h_to_h.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_4h_to_h.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_h_to_4h.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.mlp.dense_h_to_4h.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.post_attention_layernorm.bias": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.25.post_attention_layernorm.weight": "model-00011-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.dense.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.dense.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.masked_bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.query_key_value.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.query_key_value.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.attention.rotary_emb.inv_freq": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.input_layernorm.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.input_layernorm.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_4h_to_h.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_4h_to_h.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_h_to_4h.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.mlp.dense_h_to_4h.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.post_attention_layernorm.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.26.post_attention_layernorm.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.dense.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.dense.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.masked_bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.query_key_value.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.query_key_value.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.attention.rotary_emb.inv_freq": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.input_layernorm.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.input_layernorm.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_4h_to_h.bias": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_4h_to_h.weight": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_h_to_4h.bias": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.mlp.dense_h_to_4h.weight": "model-00013-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.post_attention_layernorm.bias": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.27.post_attention_layernorm.weight": "model-00012-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.dense.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.dense.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.masked_bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.query_key_value.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.query_key_value.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.attention.rotary_emb.inv_freq": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.input_layernorm.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.input_layernorm.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_4h_to_h.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_4h_to_h.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_h_to_4h.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.mlp.dense_h_to_4h.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.post_attention_layernorm.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.3.post_attention_layernorm.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.dense.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.dense.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.masked_bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.query_key_value.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.query_key_value.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.attention.rotary_emb.inv_freq": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.input_layernorm.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.input_layernorm.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_4h_to_h.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.mlp.dense_h_to_4h.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.bias": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.4.post_attention_layernorm.weight": "model-00002-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.dense.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.dense.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.masked_bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.query_key_value.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.query_key_value.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.attention.rotary_emb.inv_freq": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.input_layernorm.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.input_layernorm.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_4h_to_h.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.mlp.dense_h_to_4h.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.5.post_attention_layernorm.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.dense.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.dense.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.masked_bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.query_key_value.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.query_key_value.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.attention.rotary_emb.inv_freq": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.input_layernorm.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.input_layernorm.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_4h_to_h.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.mlp.dense_h_to_4h.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.bias": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.6.post_attention_layernorm.weight": "model-00003-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.dense.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.dense.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.masked_bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.query_key_value.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.query_key_value.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.attention.rotary_emb.inv_freq": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.input_layernorm.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.input_layernorm.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_4h_to_h.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.mlp.dense_h_to_4h.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.7.post_attention_layernorm.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.dense.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.dense.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.masked_bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.query_key_value.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.query_key_value.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.attention.rotary_emb.inv_freq": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.input_layernorm.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.input_layernorm.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_4h_to_h.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.mlp.dense_h_to_4h.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.bias": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.8.post_attention_layernorm.weight": "model-00004-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.dense.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.dense.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.masked_bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.query_key_value.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.query_key_value.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.attention.rotary_emb.inv_freq": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.input_layernorm.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.input_layernorm.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_4h_to_h.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.mlp.dense_h_to_4h.weight": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.bias": "model-00005-of-00013.safetensors",
|
||||
"gpt_neox.layers.9.post_attention_layernorm.weight": "model-00005-of-00013.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:b088704796dab521146f1309a6e6eb2e936cc255f01f2101fbf36dee9f94be45
|
||||
size 10017673915
|
||||
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 sha256:5f8bfb30e258bc8ceb43b9e8f5feafcc8c00b802df7a3120448794e6d8e963cf
|
||||
size 1870040575
|
||||
431
pytorch_model.bin.index.json
Normal file
431
pytorch_model.bin.index.json
Normal file
@@ -0,0 +1,431 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 11784801848.0
|
||||
},
|
||||
"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-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.23.mlp.dense_h_to_4h.weight": "pytorch_model-00001-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-00001-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-00001-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-00001-of-00002.bin",
|
||||
"gpt_neox.layers.24.input_layernorm.bias": "pytorch_model-00001-of-00002.bin",
|
||||
"gpt_neox.layers.24.input_layernorm.weight": "pytorch_model-00001-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-00001-of-00002.bin",
|
||||
"gpt_neox.layers.24.post_attention_layernorm.weight": "pytorch_model-00001-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.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.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"
|
||||
}
|
||||
}
|
||||
11
special_tokens_map.json
Normal file
11
special_tokens_map.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|endoftext|>",
|
||||
"<|sep|>",
|
||||
"<|acc|>",
|
||||
"<|tel|>",
|
||||
"<|rrn|>"
|
||||
],
|
||||
"eos_token": "<|endoftext|>",
|
||||
"pad_token": "<|endoftext|>"
|
||||
}
|
||||
59854
tokenizer.json
Normal file
59854
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
7
tokenizer_config.json
Normal file
7
tokenizer_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"tokenizer_class": "PreTrainedTokenizerFast"
|
||||
}
|
||||
64
trainer_state.json
Normal file
64
trainer_state.json
Normal file
@@ -0,0 +1,64 @@
|
||||
{
|
||||
"best_metric": 0.2509765625,
|
||||
"best_model_checkpoint": "./models/2023-03-16_1edc4008-e54e/checkpoint-2534",
|
||||
"epoch": 3.0,
|
||||
"global_step": 7602,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.0,
|
||||
"learning_rate": 1.9997369113391214e-05,
|
||||
"loss": 9.8984,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"learning_rate": 1.3333333333333333e-05,
|
||||
"loss": 0.2605,
|
||||
"step": 2534
|
||||
},
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"eval_loss": 0.2509765625,
|
||||
"eval_runtime": 191.3685,
|
||||
"eval_samples_per_second": 23.536,
|
||||
"eval_steps_per_second": 2.942,
|
||||
"step": 2534
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"learning_rate": 6.666666666666667e-06,
|
||||
"loss": 0.1598,
|
||||
"step": 5068
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"eval_loss": 0.258544921875,
|
||||
"eval_runtime": 159.499,
|
||||
"eval_samples_per_second": 28.238,
|
||||
"eval_steps_per_second": 3.53,
|
||||
"step": 5068
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"learning_rate": 0.0,
|
||||
"loss": 0.0753,
|
||||
"step": 7602
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"eval_loss": 0.3056640625,
|
||||
"eval_runtime": 159.3863,
|
||||
"eval_samples_per_second": 28.258,
|
||||
"eval_steps_per_second": 3.532,
|
||||
"step": 7602
|
||||
}
|
||||
],
|
||||
"max_steps": 7602,
|
||||
"num_train_epochs": 3,
|
||||
"total_flos": 2.1525111523686482e+18,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4872b8314368e34757a8c3791ebfcf77a89ff4d439e81f25e5640f42c35bec74
|
||||
size 3323
|
||||
Reference in New Issue
Block a user