Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
- config.json +30 -0
- model_named_parameters.txt +743 -0
- non_lora_trainables.bin +3 -0
- special_tokens_map.json +14 -0
- tokenizer.model +3 -0
- tokenizer_config.json +49 -0
- trainer_state.json +0 -0
README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
---
|
4 |
+
## Training procedure
|
5 |
+
|
6 |
+
### Framework versions
|
7 |
+
|
8 |
+
|
9 |
+
- PEFT 0.4.0
|
adapter_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
|
4 |
+
"bias": "none",
|
5 |
+
"fan_in_fan_out": false,
|
6 |
+
"inference_mode": true,
|
7 |
+
"init_lora_weights": true,
|
8 |
+
"layers_pattern": null,
|
9 |
+
"layers_to_transform": null,
|
10 |
+
"lora_alpha": 16,
|
11 |
+
"lora_dropout": 0.05,
|
12 |
+
"modules_to_save": null,
|
13 |
+
"peft_type": "LORA",
|
14 |
+
"r": 64,
|
15 |
+
"revision": null,
|
16 |
+
"target_modules": [
|
17 |
+
"up_proj",
|
18 |
+
"down_proj",
|
19 |
+
"gate_proj",
|
20 |
+
"q_proj",
|
21 |
+
"o_proj",
|
22 |
+
"k_proj",
|
23 |
+
"v_proj"
|
24 |
+
],
|
25 |
+
"task_type": "CAUSAL_LM"
|
26 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3cedaf4387f61c148f599d9c5cdaf5c043d6225e16c98edaba558b24c346fca1
|
3 |
+
size 335699597
|
config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"hidden_act": "silu",
|
9 |
+
"hidden_size": 4096,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 14336,
|
12 |
+
"max_position_embeddings": 32768,
|
13 |
+
"modalities": [
|
14 |
+
"vision_clip"
|
15 |
+
],
|
16 |
+
"modality_builder": "vision_clip",
|
17 |
+
"model_cls": "MistralLMMForCausalLM",
|
18 |
+
"model_type": "mistral-lmm",
|
19 |
+
"num_attention_heads": 32,
|
20 |
+
"num_hidden_layers": 32,
|
21 |
+
"num_key_value_heads": 8,
|
22 |
+
"rms_norm_eps": 1e-05,
|
23 |
+
"rope_theta": 10000.0,
|
24 |
+
"sliding_window": 4096,
|
25 |
+
"tie_word_embeddings": false,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.34.0",
|
28 |
+
"use_cache": false,
|
29 |
+
"vocab_size": 32000
|
30 |
+
}
|
model_named_parameters.txt
ADDED
@@ -0,0 +1,743 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
base_model.model.model.embed_tokens.weight torch.Size([32000, 4096]) False
|
2 |
+
base_model.model.model.layers.0.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
3 |
+
base_model.model.model.layers.0.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
4 |
+
base_model.model.model.layers.0.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
5 |
+
base_model.model.model.layers.0.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
6 |
+
base_model.model.model.layers.0.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
7 |
+
base_model.model.model.layers.0.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
8 |
+
base_model.model.model.layers.0.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
9 |
+
base_model.model.model.layers.0.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
10 |
+
base_model.model.model.layers.0.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
11 |
+
base_model.model.model.layers.0.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
12 |
+
base_model.model.model.layers.0.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
13 |
+
base_model.model.model.layers.0.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
14 |
+
base_model.model.model.layers.0.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
15 |
+
base_model.model.model.layers.0.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
16 |
+
base_model.model.model.layers.0.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
17 |
+
base_model.model.model.layers.0.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
18 |
+
base_model.model.model.layers.0.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
19 |
+
base_model.model.model.layers.0.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
20 |
+
base_model.model.model.layers.0.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
21 |
+
base_model.model.model.layers.0.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
22 |
+
base_model.model.model.layers.0.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
23 |
+
base_model.model.model.layers.0.input_layernorm.weight torch.Size([4096]) False
|
24 |
+
base_model.model.model.layers.0.post_attention_layernorm.weight torch.Size([4096]) False
|
25 |
+
base_model.model.model.layers.1.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
26 |
+
base_model.model.model.layers.1.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
27 |
+
base_model.model.model.layers.1.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
28 |
+
base_model.model.model.layers.1.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
29 |
+
base_model.model.model.layers.1.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
30 |
+
base_model.model.model.layers.1.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
31 |
+
base_model.model.model.layers.1.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
32 |
+
base_model.model.model.layers.1.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
33 |
+
base_model.model.model.layers.1.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
34 |
+
base_model.model.model.layers.1.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
35 |
+
base_model.model.model.layers.1.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
36 |
+
base_model.model.model.layers.1.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
37 |
+
base_model.model.model.layers.1.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
38 |
+
base_model.model.model.layers.1.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
39 |
+
base_model.model.model.layers.1.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
40 |
+
base_model.model.model.layers.1.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
41 |
+
base_model.model.model.layers.1.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
42 |
+
base_model.model.model.layers.1.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
43 |
+
base_model.model.model.layers.1.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
44 |
+
base_model.model.model.layers.1.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
45 |
+
base_model.model.model.layers.1.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
46 |
+
base_model.model.model.layers.1.input_layernorm.weight torch.Size([4096]) False
|
47 |
+
base_model.model.model.layers.1.post_attention_layernorm.weight torch.Size([4096]) False
|
48 |
+
base_model.model.model.layers.2.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
49 |
+
base_model.model.model.layers.2.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
50 |
+
base_model.model.model.layers.2.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
51 |
+
base_model.model.model.layers.2.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
52 |
+
base_model.model.model.layers.2.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
53 |
+
base_model.model.model.layers.2.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
54 |
+
base_model.model.model.layers.2.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
55 |
+
base_model.model.model.layers.2.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
56 |
+
base_model.model.model.layers.2.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
57 |
+
base_model.model.model.layers.2.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
58 |
+
base_model.model.model.layers.2.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
59 |
+
base_model.model.model.layers.2.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
60 |
+
base_model.model.model.layers.2.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
61 |
+
base_model.model.model.layers.2.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
62 |
+
base_model.model.model.layers.2.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
63 |
+
base_model.model.model.layers.2.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
64 |
+
base_model.model.model.layers.2.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
65 |
+
base_model.model.model.layers.2.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
66 |
+
base_model.model.model.layers.2.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
67 |
+
base_model.model.model.layers.2.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
68 |
+
base_model.model.model.layers.2.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
69 |
+
base_model.model.model.layers.2.input_layernorm.weight torch.Size([4096]) False
|
70 |
+
base_model.model.model.layers.2.post_attention_layernorm.weight torch.Size([4096]) False
|
71 |
+
base_model.model.model.layers.3.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
72 |
+
base_model.model.model.layers.3.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
73 |
+
base_model.model.model.layers.3.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
74 |
+
base_model.model.model.layers.3.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
75 |
+
base_model.model.model.layers.3.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
76 |
+
base_model.model.model.layers.3.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
77 |
+
base_model.model.model.layers.3.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
78 |
+
base_model.model.model.layers.3.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
79 |
+
base_model.model.model.layers.3.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
80 |
+
base_model.model.model.layers.3.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
81 |
+
base_model.model.model.layers.3.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
82 |
+
base_model.model.model.layers.3.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
83 |
+
base_model.model.model.layers.3.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
84 |
+
base_model.model.model.layers.3.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
85 |
+
base_model.model.model.layers.3.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
86 |
+
base_model.model.model.layers.3.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
87 |
+
base_model.model.model.layers.3.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
88 |
+
base_model.model.model.layers.3.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
89 |
+
base_model.model.model.layers.3.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
90 |
+
base_model.model.model.layers.3.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
91 |
+
base_model.model.model.layers.3.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
92 |
+
base_model.model.model.layers.3.input_layernorm.weight torch.Size([4096]) False
|
93 |
+
base_model.model.model.layers.3.post_attention_layernorm.weight torch.Size([4096]) False
|
94 |
+
base_model.model.model.layers.4.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
95 |
+
base_model.model.model.layers.4.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
96 |
+
base_model.model.model.layers.4.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
97 |
+
base_model.model.model.layers.4.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
98 |
+
base_model.model.model.layers.4.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
99 |
+
base_model.model.model.layers.4.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
100 |
+
base_model.model.model.layers.4.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
101 |
+
base_model.model.model.layers.4.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
102 |
+
base_model.model.model.layers.4.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
103 |
+
base_model.model.model.layers.4.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
104 |
+
base_model.model.model.layers.4.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
105 |
+
base_model.model.model.layers.4.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
106 |
+
base_model.model.model.layers.4.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
107 |
+
base_model.model.model.layers.4.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
108 |
+
base_model.model.model.layers.4.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
109 |
+
base_model.model.model.layers.4.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
110 |
+
base_model.model.model.layers.4.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
111 |
+
base_model.model.model.layers.4.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
112 |
+
base_model.model.model.layers.4.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
113 |
+
base_model.model.model.layers.4.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
114 |
+
base_model.model.model.layers.4.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
115 |
+
base_model.model.model.layers.4.input_layernorm.weight torch.Size([4096]) False
|
116 |
+
base_model.model.model.layers.4.post_attention_layernorm.weight torch.Size([4096]) False
|
117 |
+
base_model.model.model.layers.5.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
118 |
+
base_model.model.model.layers.5.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
119 |
+
base_model.model.model.layers.5.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
120 |
+
base_model.model.model.layers.5.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
121 |
+
base_model.model.model.layers.5.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
122 |
+
base_model.model.model.layers.5.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
123 |
+
base_model.model.model.layers.5.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
124 |
+
base_model.model.model.layers.5.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
125 |
+
base_model.model.model.layers.5.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
126 |
+
base_model.model.model.layers.5.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
127 |
+
base_model.model.model.layers.5.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
128 |
+
base_model.model.model.layers.5.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
129 |
+
base_model.model.model.layers.5.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
130 |
+
base_model.model.model.layers.5.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
131 |
+
base_model.model.model.layers.5.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
132 |
+
base_model.model.model.layers.5.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
133 |
+
base_model.model.model.layers.5.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
134 |
+
base_model.model.model.layers.5.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
135 |
+
base_model.model.model.layers.5.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
136 |
+
base_model.model.model.layers.5.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
137 |
+
base_model.model.model.layers.5.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
138 |
+
base_model.model.model.layers.5.input_layernorm.weight torch.Size([4096]) False
|
139 |
+
base_model.model.model.layers.5.post_attention_layernorm.weight torch.Size([4096]) False
|
140 |
+
base_model.model.model.layers.6.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
141 |
+
base_model.model.model.layers.6.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
142 |
+
base_model.model.model.layers.6.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
143 |
+
base_model.model.model.layers.6.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
144 |
+
base_model.model.model.layers.6.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
145 |
+
base_model.model.model.layers.6.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
146 |
+
base_model.model.model.layers.6.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
147 |
+
base_model.model.model.layers.6.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
148 |
+
base_model.model.model.layers.6.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
149 |
+
base_model.model.model.layers.6.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
150 |
+
base_model.model.model.layers.6.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
151 |
+
base_model.model.model.layers.6.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
152 |
+
base_model.model.model.layers.6.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
153 |
+
base_model.model.model.layers.6.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
154 |
+
base_model.model.model.layers.6.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
155 |
+
base_model.model.model.layers.6.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
156 |
+
base_model.model.model.layers.6.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
157 |
+
base_model.model.model.layers.6.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
158 |
+
base_model.model.model.layers.6.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
159 |
+
base_model.model.model.layers.6.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
160 |
+
base_model.model.model.layers.6.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
161 |
+
base_model.model.model.layers.6.input_layernorm.weight torch.Size([4096]) False
|
162 |
+
base_model.model.model.layers.6.post_attention_layernorm.weight torch.Size([4096]) False
|
163 |
+
base_model.model.model.layers.7.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
164 |
+
base_model.model.model.layers.7.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
165 |
+
base_model.model.model.layers.7.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
166 |
+
base_model.model.model.layers.7.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
167 |
+
base_model.model.model.layers.7.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
168 |
+
base_model.model.model.layers.7.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
169 |
+
base_model.model.model.layers.7.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
170 |
+
base_model.model.model.layers.7.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
171 |
+
base_model.model.model.layers.7.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
172 |
+
base_model.model.model.layers.7.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
173 |
+
base_model.model.model.layers.7.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
174 |
+
base_model.model.model.layers.7.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
175 |
+
base_model.model.model.layers.7.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
176 |
+
base_model.model.model.layers.7.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
177 |
+
base_model.model.model.layers.7.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
178 |
+
base_model.model.model.layers.7.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
179 |
+
base_model.model.model.layers.7.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
180 |
+
base_model.model.model.layers.7.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
181 |
+
base_model.model.model.layers.7.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
182 |
+
base_model.model.model.layers.7.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
183 |
+
base_model.model.model.layers.7.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
184 |
+
base_model.model.model.layers.7.input_layernorm.weight torch.Size([4096]) False
|
185 |
+
base_model.model.model.layers.7.post_attention_layernorm.weight torch.Size([4096]) False
|
186 |
+
base_model.model.model.layers.8.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
187 |
+
base_model.model.model.layers.8.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
188 |
+
base_model.model.model.layers.8.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
189 |
+
base_model.model.model.layers.8.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
190 |
+
base_model.model.model.layers.8.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
191 |
+
base_model.model.model.layers.8.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
192 |
+
base_model.model.model.layers.8.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
193 |
+
base_model.model.model.layers.8.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
194 |
+
base_model.model.model.layers.8.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
195 |
+
base_model.model.model.layers.8.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
196 |
+
base_model.model.model.layers.8.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
197 |
+
base_model.model.model.layers.8.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
198 |
+
base_model.model.model.layers.8.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
199 |
+
base_model.model.model.layers.8.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
200 |
+
base_model.model.model.layers.8.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
201 |
+
base_model.model.model.layers.8.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
202 |
+
base_model.model.model.layers.8.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
203 |
+
base_model.model.model.layers.8.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
204 |
+
base_model.model.model.layers.8.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
205 |
+
base_model.model.model.layers.8.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
206 |
+
base_model.model.model.layers.8.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
207 |
+
base_model.model.model.layers.8.input_layernorm.weight torch.Size([4096]) False
|
208 |
+
base_model.model.model.layers.8.post_attention_layernorm.weight torch.Size([4096]) False
|
209 |
+
base_model.model.model.layers.9.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
210 |
+
base_model.model.model.layers.9.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
211 |
+
base_model.model.model.layers.9.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
212 |
+
base_model.model.model.layers.9.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
213 |
+
base_model.model.model.layers.9.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
214 |
+
base_model.model.model.layers.9.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
215 |
+
base_model.model.model.layers.9.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
216 |
+
base_model.model.model.layers.9.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
217 |
+
base_model.model.model.layers.9.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
218 |
+
base_model.model.model.layers.9.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
219 |
+
base_model.model.model.layers.9.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
220 |
+
base_model.model.model.layers.9.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
221 |
+
base_model.model.model.layers.9.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
222 |
+
base_model.model.model.layers.9.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
223 |
+
base_model.model.model.layers.9.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
224 |
+
base_model.model.model.layers.9.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
225 |
+
base_model.model.model.layers.9.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
226 |
+
base_model.model.model.layers.9.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
227 |
+
base_model.model.model.layers.9.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
228 |
+
base_model.model.model.layers.9.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
229 |
+
base_model.model.model.layers.9.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
230 |
+
base_model.model.model.layers.9.input_layernorm.weight torch.Size([4096]) False
|
231 |
+
base_model.model.model.layers.9.post_attention_layernorm.weight torch.Size([4096]) False
|
232 |
+
base_model.model.model.layers.10.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
233 |
+
base_model.model.model.layers.10.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
234 |
+
base_model.model.model.layers.10.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
235 |
+
base_model.model.model.layers.10.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
236 |
+
base_model.model.model.layers.10.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
237 |
+
base_model.model.model.layers.10.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
238 |
+
base_model.model.model.layers.10.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
239 |
+
base_model.model.model.layers.10.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
240 |
+
base_model.model.model.layers.10.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
241 |
+
base_model.model.model.layers.10.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
242 |
+
base_model.model.model.layers.10.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
243 |
+
base_model.model.model.layers.10.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
244 |
+
base_model.model.model.layers.10.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
245 |
+
base_model.model.model.layers.10.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
246 |
+
base_model.model.model.layers.10.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
247 |
+
base_model.model.model.layers.10.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
248 |
+
base_model.model.model.layers.10.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
249 |
+
base_model.model.model.layers.10.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
250 |
+
base_model.model.model.layers.10.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
251 |
+
base_model.model.model.layers.10.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
252 |
+
base_model.model.model.layers.10.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
253 |
+
base_model.model.model.layers.10.input_layernorm.weight torch.Size([4096]) False
|
254 |
+
base_model.model.model.layers.10.post_attention_layernorm.weight torch.Size([4096]) False
|
255 |
+
base_model.model.model.layers.11.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
256 |
+
base_model.model.model.layers.11.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
257 |
+
base_model.model.model.layers.11.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
258 |
+
base_model.model.model.layers.11.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
259 |
+
base_model.model.model.layers.11.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
260 |
+
base_model.model.model.layers.11.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
261 |
+
base_model.model.model.layers.11.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
262 |
+
base_model.model.model.layers.11.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
263 |
+
base_model.model.model.layers.11.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
264 |
+
base_model.model.model.layers.11.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
265 |
+
base_model.model.model.layers.11.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
266 |
+
base_model.model.model.layers.11.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
267 |
+
base_model.model.model.layers.11.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
268 |
+
base_model.model.model.layers.11.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
269 |
+
base_model.model.model.layers.11.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
270 |
+
base_model.model.model.layers.11.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
271 |
+
base_model.model.model.layers.11.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
272 |
+
base_model.model.model.layers.11.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
273 |
+
base_model.model.model.layers.11.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
274 |
+
base_model.model.model.layers.11.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
275 |
+
base_model.model.model.layers.11.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
276 |
+
base_model.model.model.layers.11.input_layernorm.weight torch.Size([4096]) False
|
277 |
+
base_model.model.model.layers.11.post_attention_layernorm.weight torch.Size([4096]) False
|
278 |
+
base_model.model.model.layers.12.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
279 |
+
base_model.model.model.layers.12.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
280 |
+
base_model.model.model.layers.12.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
281 |
+
base_model.model.model.layers.12.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
282 |
+
base_model.model.model.layers.12.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
283 |
+
base_model.model.model.layers.12.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
284 |
+
base_model.model.model.layers.12.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
285 |
+
base_model.model.model.layers.12.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
286 |
+
base_model.model.model.layers.12.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
287 |
+
base_model.model.model.layers.12.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
288 |
+
base_model.model.model.layers.12.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
289 |
+
base_model.model.model.layers.12.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
290 |
+
base_model.model.model.layers.12.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
291 |
+
base_model.model.model.layers.12.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
292 |
+
base_model.model.model.layers.12.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
293 |
+
base_model.model.model.layers.12.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
294 |
+
base_model.model.model.layers.12.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
295 |
+
base_model.model.model.layers.12.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
296 |
+
base_model.model.model.layers.12.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
297 |
+
base_model.model.model.layers.12.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
298 |
+
base_model.model.model.layers.12.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
299 |
+
base_model.model.model.layers.12.input_layernorm.weight torch.Size([4096]) False
|
300 |
+
base_model.model.model.layers.12.post_attention_layernorm.weight torch.Size([4096]) False
|
301 |
+
base_model.model.model.layers.13.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
302 |
+
base_model.model.model.layers.13.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
303 |
+
base_model.model.model.layers.13.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
304 |
+
base_model.model.model.layers.13.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
305 |
+
base_model.model.model.layers.13.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
306 |
+
base_model.model.model.layers.13.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
307 |
+
base_model.model.model.layers.13.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
308 |
+
base_model.model.model.layers.13.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
309 |
+
base_model.model.model.layers.13.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
310 |
+
base_model.model.model.layers.13.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
311 |
+
base_model.model.model.layers.13.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
312 |
+
base_model.model.model.layers.13.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
313 |
+
base_model.model.model.layers.13.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
314 |
+
base_model.model.model.layers.13.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
315 |
+
base_model.model.model.layers.13.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
316 |
+
base_model.model.model.layers.13.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
317 |
+
base_model.model.model.layers.13.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
318 |
+
base_model.model.model.layers.13.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
319 |
+
base_model.model.model.layers.13.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
320 |
+
base_model.model.model.layers.13.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
321 |
+
base_model.model.model.layers.13.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
322 |
+
base_model.model.model.layers.13.input_layernorm.weight torch.Size([4096]) False
|
323 |
+
base_model.model.model.layers.13.post_attention_layernorm.weight torch.Size([4096]) False
|
324 |
+
base_model.model.model.layers.14.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
325 |
+
base_model.model.model.layers.14.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
326 |
+
base_model.model.model.layers.14.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
327 |
+
base_model.model.model.layers.14.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
328 |
+
base_model.model.model.layers.14.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
329 |
+
base_model.model.model.layers.14.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
330 |
+
base_model.model.model.layers.14.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
331 |
+
base_model.model.model.layers.14.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
332 |
+
base_model.model.model.layers.14.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
333 |
+
base_model.model.model.layers.14.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
334 |
+
base_model.model.model.layers.14.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
335 |
+
base_model.model.model.layers.14.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
336 |
+
base_model.model.model.layers.14.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
337 |
+
base_model.model.model.layers.14.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
338 |
+
base_model.model.model.layers.14.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
339 |
+
base_model.model.model.layers.14.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
340 |
+
base_model.model.model.layers.14.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
341 |
+
base_model.model.model.layers.14.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
342 |
+
base_model.model.model.layers.14.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
343 |
+
base_model.model.model.layers.14.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
344 |
+
base_model.model.model.layers.14.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
345 |
+
base_model.model.model.layers.14.input_layernorm.weight torch.Size([4096]) False
|
346 |
+
base_model.model.model.layers.14.post_attention_layernorm.weight torch.Size([4096]) False
|
347 |
+
base_model.model.model.layers.15.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
348 |
+
base_model.model.model.layers.15.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
349 |
+
base_model.model.model.layers.15.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
350 |
+
base_model.model.model.layers.15.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
351 |
+
base_model.model.model.layers.15.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
352 |
+
base_model.model.model.layers.15.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
353 |
+
base_model.model.model.layers.15.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
354 |
+
base_model.model.model.layers.15.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
355 |
+
base_model.model.model.layers.15.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
356 |
+
base_model.model.model.layers.15.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
357 |
+
base_model.model.model.layers.15.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
358 |
+
base_model.model.model.layers.15.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
359 |
+
base_model.model.model.layers.15.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
360 |
+
base_model.model.model.layers.15.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
361 |
+
base_model.model.model.layers.15.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
362 |
+
base_model.model.model.layers.15.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
363 |
+
base_model.model.model.layers.15.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
364 |
+
base_model.model.model.layers.15.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
365 |
+
base_model.model.model.layers.15.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
366 |
+
base_model.model.model.layers.15.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
367 |
+
base_model.model.model.layers.15.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
368 |
+
base_model.model.model.layers.15.input_layernorm.weight torch.Size([4096]) False
|
369 |
+
base_model.model.model.layers.15.post_attention_layernorm.weight torch.Size([4096]) False
|
370 |
+
base_model.model.model.layers.16.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
371 |
+
base_model.model.model.layers.16.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
372 |
+
base_model.model.model.layers.16.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
373 |
+
base_model.model.model.layers.16.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
374 |
+
base_model.model.model.layers.16.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
375 |
+
base_model.model.model.layers.16.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
376 |
+
base_model.model.model.layers.16.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
377 |
+
base_model.model.model.layers.16.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
378 |
+
base_model.model.model.layers.16.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
379 |
+
base_model.model.model.layers.16.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
380 |
+
base_model.model.model.layers.16.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
381 |
+
base_model.model.model.layers.16.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
382 |
+
base_model.model.model.layers.16.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
383 |
+
base_model.model.model.layers.16.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
384 |
+
base_model.model.model.layers.16.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
385 |
+
base_model.model.model.layers.16.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
386 |
+
base_model.model.model.layers.16.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
387 |
+
base_model.model.model.layers.16.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
388 |
+
base_model.model.model.layers.16.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
389 |
+
base_model.model.model.layers.16.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
390 |
+
base_model.model.model.layers.16.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
391 |
+
base_model.model.model.layers.16.input_layernorm.weight torch.Size([4096]) False
|
392 |
+
base_model.model.model.layers.16.post_attention_layernorm.weight torch.Size([4096]) False
|
393 |
+
base_model.model.model.layers.17.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
394 |
+
base_model.model.model.layers.17.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
395 |
+
base_model.model.model.layers.17.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
396 |
+
base_model.model.model.layers.17.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
397 |
+
base_model.model.model.layers.17.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
398 |
+
base_model.model.model.layers.17.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
399 |
+
base_model.model.model.layers.17.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
400 |
+
base_model.model.model.layers.17.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
401 |
+
base_model.model.model.layers.17.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
402 |
+
base_model.model.model.layers.17.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
403 |
+
base_model.model.model.layers.17.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
404 |
+
base_model.model.model.layers.17.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
405 |
+
base_model.model.model.layers.17.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
406 |
+
base_model.model.model.layers.17.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
407 |
+
base_model.model.model.layers.17.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
408 |
+
base_model.model.model.layers.17.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
409 |
+
base_model.model.model.layers.17.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
410 |
+
base_model.model.model.layers.17.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
411 |
+
base_model.model.model.layers.17.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
412 |
+
base_model.model.model.layers.17.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
413 |
+
base_model.model.model.layers.17.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
414 |
+
base_model.model.model.layers.17.input_layernorm.weight torch.Size([4096]) False
|
415 |
+
base_model.model.model.layers.17.post_attention_layernorm.weight torch.Size([4096]) False
|
416 |
+
base_model.model.model.layers.18.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
417 |
+
base_model.model.model.layers.18.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
418 |
+
base_model.model.model.layers.18.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
419 |
+
base_model.model.model.layers.18.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
420 |
+
base_model.model.model.layers.18.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
421 |
+
base_model.model.model.layers.18.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
422 |
+
base_model.model.model.layers.18.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
423 |
+
base_model.model.model.layers.18.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
424 |
+
base_model.model.model.layers.18.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
425 |
+
base_model.model.model.layers.18.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
426 |
+
base_model.model.model.layers.18.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
427 |
+
base_model.model.model.layers.18.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
428 |
+
base_model.model.model.layers.18.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
429 |
+
base_model.model.model.layers.18.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
430 |
+
base_model.model.model.layers.18.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
431 |
+
base_model.model.model.layers.18.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
432 |
+
base_model.model.model.layers.18.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
433 |
+
base_model.model.model.layers.18.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
434 |
+
base_model.model.model.layers.18.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
435 |
+
base_model.model.model.layers.18.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
436 |
+
base_model.model.model.layers.18.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
437 |
+
base_model.model.model.layers.18.input_layernorm.weight torch.Size([4096]) False
|
438 |
+
base_model.model.model.layers.18.post_attention_layernorm.weight torch.Size([4096]) False
|
439 |
+
base_model.model.model.layers.19.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
440 |
+
base_model.model.model.layers.19.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
441 |
+
base_model.model.model.layers.19.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
442 |
+
base_model.model.model.layers.19.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
443 |
+
base_model.model.model.layers.19.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
444 |
+
base_model.model.model.layers.19.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
445 |
+
base_model.model.model.layers.19.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
446 |
+
base_model.model.model.layers.19.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
447 |
+
base_model.model.model.layers.19.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
448 |
+
base_model.model.model.layers.19.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
449 |
+
base_model.model.model.layers.19.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
450 |
+
base_model.model.model.layers.19.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
451 |
+
base_model.model.model.layers.19.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
452 |
+
base_model.model.model.layers.19.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
453 |
+
base_model.model.model.layers.19.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
454 |
+
base_model.model.model.layers.19.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
455 |
+
base_model.model.model.layers.19.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
456 |
+
base_model.model.model.layers.19.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
457 |
+
base_model.model.model.layers.19.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
458 |
+
base_model.model.model.layers.19.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
459 |
+
base_model.model.model.layers.19.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
460 |
+
base_model.model.model.layers.19.input_layernorm.weight torch.Size([4096]) False
|
461 |
+
base_model.model.model.layers.19.post_attention_layernorm.weight torch.Size([4096]) False
|
462 |
+
base_model.model.model.layers.20.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
463 |
+
base_model.model.model.layers.20.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
464 |
+
base_model.model.model.layers.20.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
465 |
+
base_model.model.model.layers.20.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
466 |
+
base_model.model.model.layers.20.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
467 |
+
base_model.model.model.layers.20.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
468 |
+
base_model.model.model.layers.20.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
469 |
+
base_model.model.model.layers.20.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
470 |
+
base_model.model.model.layers.20.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
471 |
+
base_model.model.model.layers.20.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
472 |
+
base_model.model.model.layers.20.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
473 |
+
base_model.model.model.layers.20.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
474 |
+
base_model.model.model.layers.20.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
475 |
+
base_model.model.model.layers.20.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
476 |
+
base_model.model.model.layers.20.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
477 |
+
base_model.model.model.layers.20.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
478 |
+
base_model.model.model.layers.20.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
479 |
+
base_model.model.model.layers.20.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
480 |
+
base_model.model.model.layers.20.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
481 |
+
base_model.model.model.layers.20.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
482 |
+
base_model.model.model.layers.20.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
483 |
+
base_model.model.model.layers.20.input_layernorm.weight torch.Size([4096]) False
|
484 |
+
base_model.model.model.layers.20.post_attention_layernorm.weight torch.Size([4096]) False
|
485 |
+
base_model.model.model.layers.21.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
486 |
+
base_model.model.model.layers.21.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
487 |
+
base_model.model.model.layers.21.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
488 |
+
base_model.model.model.layers.21.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
489 |
+
base_model.model.model.layers.21.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
490 |
+
base_model.model.model.layers.21.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
491 |
+
base_model.model.model.layers.21.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
492 |
+
base_model.model.model.layers.21.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
493 |
+
base_model.model.model.layers.21.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
494 |
+
base_model.model.model.layers.21.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
495 |
+
base_model.model.model.layers.21.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
496 |
+
base_model.model.model.layers.21.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
497 |
+
base_model.model.model.layers.21.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
498 |
+
base_model.model.model.layers.21.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
499 |
+
base_model.model.model.layers.21.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
500 |
+
base_model.model.model.layers.21.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
501 |
+
base_model.model.model.layers.21.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
502 |
+
base_model.model.model.layers.21.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
503 |
+
base_model.model.model.layers.21.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
504 |
+
base_model.model.model.layers.21.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
505 |
+
base_model.model.model.layers.21.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
506 |
+
base_model.model.model.layers.21.input_layernorm.weight torch.Size([4096]) False
|
507 |
+
base_model.model.model.layers.21.post_attention_layernorm.weight torch.Size([4096]) False
|
508 |
+
base_model.model.model.layers.22.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
509 |
+
base_model.model.model.layers.22.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
510 |
+
base_model.model.model.layers.22.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
511 |
+
base_model.model.model.layers.22.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
512 |
+
base_model.model.model.layers.22.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
513 |
+
base_model.model.model.layers.22.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
514 |
+
base_model.model.model.layers.22.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
515 |
+
base_model.model.model.layers.22.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
516 |
+
base_model.model.model.layers.22.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
517 |
+
base_model.model.model.layers.22.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
518 |
+
base_model.model.model.layers.22.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
519 |
+
base_model.model.model.layers.22.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
520 |
+
base_model.model.model.layers.22.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
521 |
+
base_model.model.model.layers.22.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
522 |
+
base_model.model.model.layers.22.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
523 |
+
base_model.model.model.layers.22.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
524 |
+
base_model.model.model.layers.22.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
525 |
+
base_model.model.model.layers.22.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
526 |
+
base_model.model.model.layers.22.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
527 |
+
base_model.model.model.layers.22.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
528 |
+
base_model.model.model.layers.22.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
529 |
+
base_model.model.model.layers.22.input_layernorm.weight torch.Size([4096]) False
|
530 |
+
base_model.model.model.layers.22.post_attention_layernorm.weight torch.Size([4096]) False
|
531 |
+
base_model.model.model.layers.23.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
532 |
+
base_model.model.model.layers.23.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
533 |
+
base_model.model.model.layers.23.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
534 |
+
base_model.model.model.layers.23.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
535 |
+
base_model.model.model.layers.23.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
536 |
+
base_model.model.model.layers.23.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
537 |
+
base_model.model.model.layers.23.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
538 |
+
base_model.model.model.layers.23.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
539 |
+
base_model.model.model.layers.23.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
540 |
+
base_model.model.model.layers.23.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
541 |
+
base_model.model.model.layers.23.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
542 |
+
base_model.model.model.layers.23.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
543 |
+
base_model.model.model.layers.23.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
544 |
+
base_model.model.model.layers.23.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
545 |
+
base_model.model.model.layers.23.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
546 |
+
base_model.model.model.layers.23.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
547 |
+
base_model.model.model.layers.23.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
548 |
+
base_model.model.model.layers.23.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
549 |
+
base_model.model.model.layers.23.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
550 |
+
base_model.model.model.layers.23.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
551 |
+
base_model.model.model.layers.23.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
552 |
+
base_model.model.model.layers.23.input_layernorm.weight torch.Size([4096]) False
|
553 |
+
base_model.model.model.layers.23.post_attention_layernorm.weight torch.Size([4096]) False
|
554 |
+
base_model.model.model.layers.24.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
555 |
+
base_model.model.model.layers.24.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
556 |
+
base_model.model.model.layers.24.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
557 |
+
base_model.model.model.layers.24.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
558 |
+
base_model.model.model.layers.24.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
559 |
+
base_model.model.model.layers.24.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
560 |
+
base_model.model.model.layers.24.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
561 |
+
base_model.model.model.layers.24.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
562 |
+
base_model.model.model.layers.24.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
563 |
+
base_model.model.model.layers.24.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
564 |
+
base_model.model.model.layers.24.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
565 |
+
base_model.model.model.layers.24.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
566 |
+
base_model.model.model.layers.24.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
567 |
+
base_model.model.model.layers.24.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
568 |
+
base_model.model.model.layers.24.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
569 |
+
base_model.model.model.layers.24.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
570 |
+
base_model.model.model.layers.24.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
571 |
+
base_model.model.model.layers.24.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
572 |
+
base_model.model.model.layers.24.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
573 |
+
base_model.model.model.layers.24.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
574 |
+
base_model.model.model.layers.24.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
575 |
+
base_model.model.model.layers.24.input_layernorm.weight torch.Size([4096]) False
|
576 |
+
base_model.model.model.layers.24.post_attention_layernorm.weight torch.Size([4096]) False
|
577 |
+
base_model.model.model.layers.25.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
578 |
+
base_model.model.model.layers.25.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
579 |
+
base_model.model.model.layers.25.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
580 |
+
base_model.model.model.layers.25.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
581 |
+
base_model.model.model.layers.25.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
582 |
+
base_model.model.model.layers.25.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
583 |
+
base_model.model.model.layers.25.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
584 |
+
base_model.model.model.layers.25.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
585 |
+
base_model.model.model.layers.25.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
586 |
+
base_model.model.model.layers.25.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
587 |
+
base_model.model.model.layers.25.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
588 |
+
base_model.model.model.layers.25.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
589 |
+
base_model.model.model.layers.25.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
590 |
+
base_model.model.model.layers.25.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
591 |
+
base_model.model.model.layers.25.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
592 |
+
base_model.model.model.layers.25.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
593 |
+
base_model.model.model.layers.25.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
594 |
+
base_model.model.model.layers.25.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
595 |
+
base_model.model.model.layers.25.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
596 |
+
base_model.model.model.layers.25.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
597 |
+
base_model.model.model.layers.25.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
598 |
+
base_model.model.model.layers.25.input_layernorm.weight torch.Size([4096]) False
|
599 |
+
base_model.model.model.layers.25.post_attention_layernorm.weight torch.Size([4096]) False
|
600 |
+
base_model.model.model.layers.26.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
601 |
+
base_model.model.model.layers.26.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
602 |
+
base_model.model.model.layers.26.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
603 |
+
base_model.model.model.layers.26.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
604 |
+
base_model.model.model.layers.26.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
605 |
+
base_model.model.model.layers.26.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
606 |
+
base_model.model.model.layers.26.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
607 |
+
base_model.model.model.layers.26.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
608 |
+
base_model.model.model.layers.26.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
609 |
+
base_model.model.model.layers.26.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
610 |
+
base_model.model.model.layers.26.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
611 |
+
base_model.model.model.layers.26.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
612 |
+
base_model.model.model.layers.26.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
613 |
+
base_model.model.model.layers.26.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
614 |
+
base_model.model.model.layers.26.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
615 |
+
base_model.model.model.layers.26.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
616 |
+
base_model.model.model.layers.26.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
617 |
+
base_model.model.model.layers.26.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
618 |
+
base_model.model.model.layers.26.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
619 |
+
base_model.model.model.layers.26.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
620 |
+
base_model.model.model.layers.26.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
621 |
+
base_model.model.model.layers.26.input_layernorm.weight torch.Size([4096]) False
|
622 |
+
base_model.model.model.layers.26.post_attention_layernorm.weight torch.Size([4096]) False
|
623 |
+
base_model.model.model.layers.27.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
624 |
+
base_model.model.model.layers.27.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
625 |
+
base_model.model.model.layers.27.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
626 |
+
base_model.model.model.layers.27.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
627 |
+
base_model.model.model.layers.27.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
628 |
+
base_model.model.model.layers.27.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
629 |
+
base_model.model.model.layers.27.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
630 |
+
base_model.model.model.layers.27.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
631 |
+
base_model.model.model.layers.27.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
632 |
+
base_model.model.model.layers.27.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
633 |
+
base_model.model.model.layers.27.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
634 |
+
base_model.model.model.layers.27.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
635 |
+
base_model.model.model.layers.27.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
636 |
+
base_model.model.model.layers.27.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
637 |
+
base_model.model.model.layers.27.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
638 |
+
base_model.model.model.layers.27.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
639 |
+
base_model.model.model.layers.27.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
640 |
+
base_model.model.model.layers.27.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
641 |
+
base_model.model.model.layers.27.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
642 |
+
base_model.model.model.layers.27.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
643 |
+
base_model.model.model.layers.27.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
644 |
+
base_model.model.model.layers.27.input_layernorm.weight torch.Size([4096]) False
|
645 |
+
base_model.model.model.layers.27.post_attention_layernorm.weight torch.Size([4096]) False
|
646 |
+
base_model.model.model.layers.28.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
647 |
+
base_model.model.model.layers.28.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
648 |
+
base_model.model.model.layers.28.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
649 |
+
base_model.model.model.layers.28.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
650 |
+
base_model.model.model.layers.28.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
651 |
+
base_model.model.model.layers.28.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
652 |
+
base_model.model.model.layers.28.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
653 |
+
base_model.model.model.layers.28.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
654 |
+
base_model.model.model.layers.28.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
655 |
+
base_model.model.model.layers.28.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
656 |
+
base_model.model.model.layers.28.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
657 |
+
base_model.model.model.layers.28.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
658 |
+
base_model.model.model.layers.28.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
659 |
+
base_model.model.model.layers.28.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
660 |
+
base_model.model.model.layers.28.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
661 |
+
base_model.model.model.layers.28.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
662 |
+
base_model.model.model.layers.28.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
663 |
+
base_model.model.model.layers.28.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
664 |
+
base_model.model.model.layers.28.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
665 |
+
base_model.model.model.layers.28.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
666 |
+
base_model.model.model.layers.28.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
667 |
+
base_model.model.model.layers.28.input_layernorm.weight torch.Size([4096]) False
|
668 |
+
base_model.model.model.layers.28.post_attention_layernorm.weight torch.Size([4096]) False
|
669 |
+
base_model.model.model.layers.29.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
670 |
+
base_model.model.model.layers.29.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
671 |
+
base_model.model.model.layers.29.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
672 |
+
base_model.model.model.layers.29.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
673 |
+
base_model.model.model.layers.29.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
674 |
+
base_model.model.model.layers.29.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
675 |
+
base_model.model.model.layers.29.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
676 |
+
base_model.model.model.layers.29.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
677 |
+
base_model.model.model.layers.29.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
678 |
+
base_model.model.model.layers.29.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
679 |
+
base_model.model.model.layers.29.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
680 |
+
base_model.model.model.layers.29.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
681 |
+
base_model.model.model.layers.29.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
682 |
+
base_model.model.model.layers.29.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
683 |
+
base_model.model.model.layers.29.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
684 |
+
base_model.model.model.layers.29.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
685 |
+
base_model.model.model.layers.29.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
686 |
+
base_model.model.model.layers.29.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
687 |
+
base_model.model.model.layers.29.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
688 |
+
base_model.model.model.layers.29.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
689 |
+
base_model.model.model.layers.29.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
690 |
+
base_model.model.model.layers.29.input_layernorm.weight torch.Size([4096]) False
|
691 |
+
base_model.model.model.layers.29.post_attention_layernorm.weight torch.Size([4096]) False
|
692 |
+
base_model.model.model.layers.30.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
693 |
+
base_model.model.model.layers.30.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
694 |
+
base_model.model.model.layers.30.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
695 |
+
base_model.model.model.layers.30.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
696 |
+
base_model.model.model.layers.30.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
697 |
+
base_model.model.model.layers.30.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
698 |
+
base_model.model.model.layers.30.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
699 |
+
base_model.model.model.layers.30.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
700 |
+
base_model.model.model.layers.30.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
701 |
+
base_model.model.model.layers.30.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
702 |
+
base_model.model.model.layers.30.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
703 |
+
base_model.model.model.layers.30.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
704 |
+
base_model.model.model.layers.30.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
705 |
+
base_model.model.model.layers.30.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
706 |
+
base_model.model.model.layers.30.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
707 |
+
base_model.model.model.layers.30.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
708 |
+
base_model.model.model.layers.30.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
709 |
+
base_model.model.model.layers.30.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
710 |
+
base_model.model.model.layers.30.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
711 |
+
base_model.model.model.layers.30.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
712 |
+
base_model.model.model.layers.30.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
713 |
+
base_model.model.model.layers.30.input_layernorm.weight torch.Size([4096]) False
|
714 |
+
base_model.model.model.layers.30.post_attention_layernorm.weight torch.Size([4096]) False
|
715 |
+
base_model.model.model.layers.31.self_attn.q_proj.weight torch.Size([4096, 4096]) False
|
716 |
+
base_model.model.model.layers.31.self_attn.q_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
717 |
+
base_model.model.model.layers.31.self_attn.q_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
718 |
+
base_model.model.model.layers.31.self_attn.k_proj.weight torch.Size([1024, 4096]) False
|
719 |
+
base_model.model.model.layers.31.self_attn.k_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
720 |
+
base_model.model.model.layers.31.self_attn.k_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
721 |
+
base_model.model.model.layers.31.self_attn.v_proj.weight torch.Size([1024, 4096]) False
|
722 |
+
base_model.model.model.layers.31.self_attn.v_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
723 |
+
base_model.model.model.layers.31.self_attn.v_proj.lora_B.default.weight torch.Size([1024, 64]) True
|
724 |
+
base_model.model.model.layers.31.self_attn.o_proj.weight torch.Size([4096, 4096]) False
|
725 |
+
base_model.model.model.layers.31.self_attn.o_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
726 |
+
base_model.model.model.layers.31.self_attn.o_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
727 |
+
base_model.model.model.layers.31.mlp.gate_proj.weight torch.Size([14336, 4096]) False
|
728 |
+
base_model.model.model.layers.31.mlp.gate_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
729 |
+
base_model.model.model.layers.31.mlp.gate_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
730 |
+
base_model.model.model.layers.31.mlp.up_proj.weight torch.Size([14336, 4096]) False
|
731 |
+
base_model.model.model.layers.31.mlp.up_proj.lora_A.default.weight torch.Size([64, 4096]) True
|
732 |
+
base_model.model.model.layers.31.mlp.up_proj.lora_B.default.weight torch.Size([14336, 64]) True
|
733 |
+
base_model.model.model.layers.31.mlp.down_proj.weight torch.Size([4096, 14336]) False
|
734 |
+
base_model.model.model.layers.31.mlp.down_proj.lora_A.default.weight torch.Size([64, 14336]) True
|
735 |
+
base_model.model.model.layers.31.mlp.down_proj.lora_B.default.weight torch.Size([4096, 64]) True
|
736 |
+
base_model.model.model.layers.31.input_layernorm.weight torch.Size([4096]) False
|
737 |
+
base_model.model.model.layers.31.post_attention_layernorm.weight torch.Size([4096]) False
|
738 |
+
base_model.model.model.norm.weight torch.Size([4096]) False
|
739 |
+
base_model.model.model.vision_clip_lmm_projector.0.weight torch.Size([4096, 1024]) True
|
740 |
+
base_model.model.model.vision_clip_lmm_projector.0.bias torch.Size([4096]) True
|
741 |
+
base_model.model.model.vision_clip_lmm_projector.2.weight torch.Size([4096, 4096]) True
|
742 |
+
base_model.model.model.vision_clip_lmm_projector.2.bias torch.Size([4096]) True
|
743 |
+
base_model.model.lm_head.weight torch.Size([32000, 4096]) False
|
non_lora_trainables.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5a24320f23f508373cbbd4cb534c28127bcae35e6db8836657a9fe06d0a1479e
|
3 |
+
size 41961255
|
special_tokens_map.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<unk>",
|
4 |
+
"<s>",
|
5 |
+
"</s>"
|
6 |
+
],
|
7 |
+
"bos_token": "<s>",
|
8 |
+
"cls_token": "<unk>",
|
9 |
+
"eos_token": "</s>",
|
10 |
+
"mask_token": "<unk>",
|
11 |
+
"pad_token": "<unk>",
|
12 |
+
"sep_token": "<unk>",
|
13 |
+
"unk_token": "<unk>"
|
14 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
37 |
+
"clean_up_tokenization_spaces": false,
|
38 |
+
"eos_token": "</s>",
|
39 |
+
"legacy": true,
|
40 |
+
"model_max_length": 2048,
|
41 |
+
"pad_token": "<unk>",
|
42 |
+
"padding_side": "right",
|
43 |
+
"sp_model_kwargs": {},
|
44 |
+
"spaces_between_special_tokens": false,
|
45 |
+
"tokenizer_class": "LlamaTokenizer",
|
46 |
+
"tokenizer_file": "/root/.cache/huggingface/hub/models--mistralai--Mistral-7B-Instruct-v0.1/snapshots/7ad5799710574ba1c1d953eba3077af582f3a773/tokenizer.json",
|
47 |
+
"unk_token": "<unk>",
|
48 |
+
"use_default_system_prompt": true
|
49 |
+
}
|
trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|