Upload folder using huggingface_hub
Browse files- README.md +57 -0
- config.json +29 -0
- generation_config.json +6 -0
- learned_lambdas.json +290 -0
- logs/save_merged_model_20251009_191904.log +74 -0
- logs/save_merged_model_20251009_192735.log +74 -0
- logs/save_merged_model_20251009_193429.log +74 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +280 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +146 -0
README.md
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- merge
|
| 4 |
+
- task_wise
|
| 5 |
+
- llm-adamerge
|
| 6 |
+
base_model: deepseek-ai/deepseek-coder-7b-base-v1.5
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
# Merged Model using LLM-AdaMerge (task_wise)
|
| 10 |
+
|
| 11 |
+
This model was created by merging multiple fine-tuned models using the LLM-AdaMerge approach with task_wise merging.
|
| 12 |
+
|
| 13 |
+
## Merge Details
|
| 14 |
+
|
| 15 |
+
- **Merge Type**: task_wise
|
| 16 |
+
- **Base Model**: deepseek-ai/deepseek-coder-7b-base-v1.5
|
| 17 |
+
- **Number of Models Merged**: 2
|
| 18 |
+
- **Models Merged**: math, code
|
| 19 |
+
- **Final Training Loss**: N/A
|
| 20 |
+
- **Training Epochs**: 0
|
| 21 |
+
|
| 22 |
+
## Lambda Coefficients
|
| 23 |
+
|
| 24 |
+
The following lambda coefficients were learned during training:
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
Task-wise lambda coefficients are stored in the `learned_lambdas.json` file.
|
| 28 |
+
|
| 29 |
+
## Usage
|
| 30 |
+
|
| 31 |
+
```python
|
| 32 |
+
from transformers import AutoModelForCausalLM, AutoTokenizer
|
| 33 |
+
|
| 34 |
+
model = AutoModelForCausalLM.from_pretrained("your-username/model-name")
|
| 35 |
+
tokenizer = AutoTokenizer.from_pretrained("your-username/model-name")
|
| 36 |
+
|
| 37 |
+
# Use the model
|
| 38 |
+
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
|
| 39 |
+
outputs = model.generate(**inputs)
|
| 40 |
+
print(tokenizer.decode(outputs[0]))
|
| 41 |
+
```
|
| 42 |
+
|
| 43 |
+
## Training Configuration
|
| 44 |
+
|
| 45 |
+
See the uploaded `training_config.json` file for detailed training configuration.
|
| 46 |
+
|
| 47 |
+
## Citation
|
| 48 |
+
|
| 49 |
+
If you use this model, please cite the LLM-AdaMerge paper:
|
| 50 |
+
|
| 51 |
+
```bibtex
|
| 52 |
+
@article{llmadamerge2024,
|
| 53 |
+
title={LLM-AdaMerge: Adaptive Model Merging for Large Language Models},
|
| 54 |
+
author={...},
|
| 55 |
+
year={2024}
|
| 56 |
+
}
|
| 57 |
+
```
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 100000,
|
| 8 |
+
"eos_token_id": 100001,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 4096,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 11008,
|
| 14 |
+
"max_position_embeddings": 4096,
|
| 15 |
+
"mlp_bias": false,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 30,
|
| 19 |
+
"num_key_value_heads": 32,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-06,
|
| 22 |
+
"rope_scaling": null,
|
| 23 |
+
"rope_theta": 10000.0,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "float16",
|
| 26 |
+
"transformers_version": "4.52.4",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"vocab_size": 102400
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 100000,
|
| 4 |
+
"eos_token_id": 100001,
|
| 5 |
+
"transformers_version": "4.52.4"
|
| 6 |
+
}
|
learned_lambdas.json
ADDED
|
@@ -0,0 +1,290 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"lambdas": [
|
| 3 |
+
[
|
| 4 |
+
1.0090581178665161,
|
| 5 |
+
0.39679306745529175
|
| 6 |
+
]
|
| 7 |
+
],
|
| 8 |
+
"merge_type": "task_wise",
|
| 9 |
+
"model_names": [
|
| 10 |
+
"math",
|
| 11 |
+
"code"
|
| 12 |
+
],
|
| 13 |
+
"num_models": 2,
|
| 14 |
+
"num_params": 273,
|
| 15 |
+
"param_names": [
|
| 16 |
+
"model.embed_tokens.weight",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight",
|
| 18 |
+
"model.layers.0.self_attn.k_proj.weight",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight",
|
| 20 |
+
"model.layers.0.self_attn.o_proj.weight",
|
| 21 |
+
"model.layers.0.mlp.gate_proj.weight",
|
| 22 |
+
"model.layers.0.mlp.up_proj.weight",
|
| 23 |
+
"model.layers.0.mlp.down_proj.weight",
|
| 24 |
+
"model.layers.0.input_layernorm.weight",
|
| 25 |
+
"model.layers.0.post_attention_layernorm.weight",
|
| 26 |
+
"model.layers.1.self_attn.q_proj.weight",
|
| 27 |
+
"model.layers.1.self_attn.k_proj.weight",
|
| 28 |
+
"model.layers.1.self_attn.v_proj.weight",
|
| 29 |
+
"model.layers.1.self_attn.o_proj.weight",
|
| 30 |
+
"model.layers.1.mlp.gate_proj.weight",
|
| 31 |
+
"model.layers.1.mlp.up_proj.weight",
|
| 32 |
+
"model.layers.1.mlp.down_proj.weight",
|
| 33 |
+
"model.layers.1.input_layernorm.weight",
|
| 34 |
+
"model.layers.1.post_attention_layernorm.weight",
|
| 35 |
+
"model.layers.2.self_attn.q_proj.weight",
|
| 36 |
+
"model.layers.2.self_attn.k_proj.weight",
|
| 37 |
+
"model.layers.2.self_attn.v_proj.weight",
|
| 38 |
+
"model.layers.2.self_attn.o_proj.weight",
|
| 39 |
+
"model.layers.2.mlp.gate_proj.weight",
|
| 40 |
+
"model.layers.2.mlp.up_proj.weight",
|
| 41 |
+
"model.layers.2.mlp.down_proj.weight",
|
| 42 |
+
"model.layers.2.input_layernorm.weight",
|
| 43 |
+
"model.layers.2.post_attention_layernorm.weight",
|
| 44 |
+
"model.layers.3.self_attn.q_proj.weight",
|
| 45 |
+
"model.layers.3.self_attn.k_proj.weight",
|
| 46 |
+
"model.layers.3.self_attn.v_proj.weight",
|
| 47 |
+
"model.layers.3.self_attn.o_proj.weight",
|
| 48 |
+
"model.layers.3.mlp.gate_proj.weight",
|
| 49 |
+
"model.layers.3.mlp.up_proj.weight",
|
| 50 |
+
"model.layers.3.mlp.down_proj.weight",
|
| 51 |
+
"model.layers.3.input_layernorm.weight",
|
| 52 |
+
"model.layers.3.post_attention_layernorm.weight",
|
| 53 |
+
"model.layers.4.self_attn.q_proj.weight",
|
| 54 |
+
"model.layers.4.self_attn.k_proj.weight",
|
| 55 |
+
"model.layers.4.self_attn.v_proj.weight",
|
| 56 |
+
"model.layers.4.self_attn.o_proj.weight",
|
| 57 |
+
"model.layers.4.mlp.gate_proj.weight",
|
| 58 |
+
"model.layers.4.mlp.up_proj.weight",
|
| 59 |
+
"model.layers.4.mlp.down_proj.weight",
|
| 60 |
+
"model.layers.4.input_layernorm.weight",
|
| 61 |
+
"model.layers.4.post_attention_layernorm.weight",
|
| 62 |
+
"model.layers.5.self_attn.q_proj.weight",
|
| 63 |
+
"model.layers.5.self_attn.k_proj.weight",
|
| 64 |
+
"model.layers.5.self_attn.v_proj.weight",
|
| 65 |
+
"model.layers.5.self_attn.o_proj.weight",
|
| 66 |
+
"model.layers.5.mlp.gate_proj.weight",
|
| 67 |
+
"model.layers.5.mlp.up_proj.weight",
|
| 68 |
+
"model.layers.5.mlp.down_proj.weight",
|
| 69 |
+
"model.layers.5.input_layernorm.weight",
|
| 70 |
+
"model.layers.5.post_attention_layernorm.weight",
|
| 71 |
+
"model.layers.6.self_attn.q_proj.weight",
|
| 72 |
+
"model.layers.6.self_attn.k_proj.weight",
|
| 73 |
+
"model.layers.6.self_attn.v_proj.weight",
|
| 74 |
+
"model.layers.6.self_attn.o_proj.weight",
|
| 75 |
+
"model.layers.6.mlp.gate_proj.weight",
|
| 76 |
+
"model.layers.6.mlp.up_proj.weight",
|
| 77 |
+
"model.layers.6.mlp.down_proj.weight",
|
| 78 |
+
"model.layers.6.input_layernorm.weight",
|
| 79 |
+
"model.layers.6.post_attention_layernorm.weight",
|
| 80 |
+
"model.layers.7.self_attn.q_proj.weight",
|
| 81 |
+
"model.layers.7.self_attn.k_proj.weight",
|
| 82 |
+
"model.layers.7.self_attn.v_proj.weight",
|
| 83 |
+
"model.layers.7.self_attn.o_proj.weight",
|
| 84 |
+
"model.layers.7.mlp.gate_proj.weight",
|
| 85 |
+
"model.layers.7.mlp.up_proj.weight",
|
| 86 |
+
"model.layers.7.mlp.down_proj.weight",
|
| 87 |
+
"model.layers.7.input_layernorm.weight",
|
| 88 |
+
"model.layers.7.post_attention_layernorm.weight",
|
| 89 |
+
"model.layers.8.self_attn.q_proj.weight",
|
| 90 |
+
"model.layers.8.self_attn.k_proj.weight",
|
| 91 |
+
"model.layers.8.self_attn.v_proj.weight",
|
| 92 |
+
"model.layers.8.self_attn.o_proj.weight",
|
| 93 |
+
"model.layers.8.mlp.gate_proj.weight",
|
| 94 |
+
"model.layers.8.mlp.up_proj.weight",
|
| 95 |
+
"model.layers.8.mlp.down_proj.weight",
|
| 96 |
+
"model.layers.8.input_layernorm.weight",
|
| 97 |
+
"model.layers.8.post_attention_layernorm.weight",
|
| 98 |
+
"model.layers.9.self_attn.q_proj.weight",
|
| 99 |
+
"model.layers.9.self_attn.k_proj.weight",
|
| 100 |
+
"model.layers.9.self_attn.v_proj.weight",
|
| 101 |
+
"model.layers.9.self_attn.o_proj.weight",
|
| 102 |
+
"model.layers.9.mlp.gate_proj.weight",
|
| 103 |
+
"model.layers.9.mlp.up_proj.weight",
|
| 104 |
+
"model.layers.9.mlp.down_proj.weight",
|
| 105 |
+
"model.layers.9.input_layernorm.weight",
|
| 106 |
+
"model.layers.9.post_attention_layernorm.weight",
|
| 107 |
+
"model.layers.10.self_attn.q_proj.weight",
|
| 108 |
+
"model.layers.10.self_attn.k_proj.weight",
|
| 109 |
+
"model.layers.10.self_attn.v_proj.weight",
|
| 110 |
+
"model.layers.10.self_attn.o_proj.weight",
|
| 111 |
+
"model.layers.10.mlp.gate_proj.weight",
|
| 112 |
+
"model.layers.10.mlp.up_proj.weight",
|
| 113 |
+
"model.layers.10.mlp.down_proj.weight",
|
| 114 |
+
"model.layers.10.input_layernorm.weight",
|
| 115 |
+
"model.layers.10.post_attention_layernorm.weight",
|
| 116 |
+
"model.layers.11.self_attn.q_proj.weight",
|
| 117 |
+
"model.layers.11.self_attn.k_proj.weight",
|
| 118 |
+
"model.layers.11.self_attn.v_proj.weight",
|
| 119 |
+
"model.layers.11.self_attn.o_proj.weight",
|
| 120 |
+
"model.layers.11.mlp.gate_proj.weight",
|
| 121 |
+
"model.layers.11.mlp.up_proj.weight",
|
| 122 |
+
"model.layers.11.mlp.down_proj.weight",
|
| 123 |
+
"model.layers.11.input_layernorm.weight",
|
| 124 |
+
"model.layers.11.post_attention_layernorm.weight",
|
| 125 |
+
"model.layers.12.self_attn.q_proj.weight",
|
| 126 |
+
"model.layers.12.self_attn.k_proj.weight",
|
| 127 |
+
"model.layers.12.self_attn.v_proj.weight",
|
| 128 |
+
"model.layers.12.self_attn.o_proj.weight",
|
| 129 |
+
"model.layers.12.mlp.gate_proj.weight",
|
| 130 |
+
"model.layers.12.mlp.up_proj.weight",
|
| 131 |
+
"model.layers.12.mlp.down_proj.weight",
|
| 132 |
+
"model.layers.12.input_layernorm.weight",
|
| 133 |
+
"model.layers.12.post_attention_layernorm.weight",
|
| 134 |
+
"model.layers.13.self_attn.q_proj.weight",
|
| 135 |
+
"model.layers.13.self_attn.k_proj.weight",
|
| 136 |
+
"model.layers.13.self_attn.v_proj.weight",
|
| 137 |
+
"model.layers.13.self_attn.o_proj.weight",
|
| 138 |
+
"model.layers.13.mlp.gate_proj.weight",
|
| 139 |
+
"model.layers.13.mlp.up_proj.weight",
|
| 140 |
+
"model.layers.13.mlp.down_proj.weight",
|
| 141 |
+
"model.layers.13.input_layernorm.weight",
|
| 142 |
+
"model.layers.13.post_attention_layernorm.weight",
|
| 143 |
+
"model.layers.14.self_attn.q_proj.weight",
|
| 144 |
+
"model.layers.14.self_attn.k_proj.weight",
|
| 145 |
+
"model.layers.14.self_attn.v_proj.weight",
|
| 146 |
+
"model.layers.14.self_attn.o_proj.weight",
|
| 147 |
+
"model.layers.14.mlp.gate_proj.weight",
|
| 148 |
+
"model.layers.14.mlp.up_proj.weight",
|
| 149 |
+
"model.layers.14.mlp.down_proj.weight",
|
| 150 |
+
"model.layers.14.input_layernorm.weight",
|
| 151 |
+
"model.layers.14.post_attention_layernorm.weight",
|
| 152 |
+
"model.layers.15.self_attn.q_proj.weight",
|
| 153 |
+
"model.layers.15.self_attn.k_proj.weight",
|
| 154 |
+
"model.layers.15.self_attn.v_proj.weight",
|
| 155 |
+
"model.layers.15.self_attn.o_proj.weight",
|
| 156 |
+
"model.layers.15.mlp.gate_proj.weight",
|
| 157 |
+
"model.layers.15.mlp.up_proj.weight",
|
| 158 |
+
"model.layers.15.mlp.down_proj.weight",
|
| 159 |
+
"model.layers.15.input_layernorm.weight",
|
| 160 |
+
"model.layers.15.post_attention_layernorm.weight",
|
| 161 |
+
"model.layers.16.self_attn.q_proj.weight",
|
| 162 |
+
"model.layers.16.self_attn.k_proj.weight",
|
| 163 |
+
"model.layers.16.self_attn.v_proj.weight",
|
| 164 |
+
"model.layers.16.self_attn.o_proj.weight",
|
| 165 |
+
"model.layers.16.mlp.gate_proj.weight",
|
| 166 |
+
"model.layers.16.mlp.up_proj.weight",
|
| 167 |
+
"model.layers.16.mlp.down_proj.weight",
|
| 168 |
+
"model.layers.16.input_layernorm.weight",
|
| 169 |
+
"model.layers.16.post_attention_layernorm.weight",
|
| 170 |
+
"model.layers.17.self_attn.q_proj.weight",
|
| 171 |
+
"model.layers.17.self_attn.k_proj.weight",
|
| 172 |
+
"model.layers.17.self_attn.v_proj.weight",
|
| 173 |
+
"model.layers.17.self_attn.o_proj.weight",
|
| 174 |
+
"model.layers.17.mlp.gate_proj.weight",
|
| 175 |
+
"model.layers.17.mlp.up_proj.weight",
|
| 176 |
+
"model.layers.17.mlp.down_proj.weight",
|
| 177 |
+
"model.layers.17.input_layernorm.weight",
|
| 178 |
+
"model.layers.17.post_attention_layernorm.weight",
|
| 179 |
+
"model.layers.18.self_attn.q_proj.weight",
|
| 180 |
+
"model.layers.18.self_attn.k_proj.weight",
|
| 181 |
+
"model.layers.18.self_attn.v_proj.weight",
|
| 182 |
+
"model.layers.18.self_attn.o_proj.weight",
|
| 183 |
+
"model.layers.18.mlp.gate_proj.weight",
|
| 184 |
+
"model.layers.18.mlp.up_proj.weight",
|
| 185 |
+
"model.layers.18.mlp.down_proj.weight",
|
| 186 |
+
"model.layers.18.input_layernorm.weight",
|
| 187 |
+
"model.layers.18.post_attention_layernorm.weight",
|
| 188 |
+
"model.layers.19.self_attn.q_proj.weight",
|
| 189 |
+
"model.layers.19.self_attn.k_proj.weight",
|
| 190 |
+
"model.layers.19.self_attn.v_proj.weight",
|
| 191 |
+
"model.layers.19.self_attn.o_proj.weight",
|
| 192 |
+
"model.layers.19.mlp.gate_proj.weight",
|
| 193 |
+
"model.layers.19.mlp.up_proj.weight",
|
| 194 |
+
"model.layers.19.mlp.down_proj.weight",
|
| 195 |
+
"model.layers.19.input_layernorm.weight",
|
| 196 |
+
"model.layers.19.post_attention_layernorm.weight",
|
| 197 |
+
"model.layers.20.self_attn.q_proj.weight",
|
| 198 |
+
"model.layers.20.self_attn.k_proj.weight",
|
| 199 |
+
"model.layers.20.self_attn.v_proj.weight",
|
| 200 |
+
"model.layers.20.self_attn.o_proj.weight",
|
| 201 |
+
"model.layers.20.mlp.gate_proj.weight",
|
| 202 |
+
"model.layers.20.mlp.up_proj.weight",
|
| 203 |
+
"model.layers.20.mlp.down_proj.weight",
|
| 204 |
+
"model.layers.20.input_layernorm.weight",
|
| 205 |
+
"model.layers.20.post_attention_layernorm.weight",
|
| 206 |
+
"model.layers.21.self_attn.q_proj.weight",
|
| 207 |
+
"model.layers.21.self_attn.k_proj.weight",
|
| 208 |
+
"model.layers.21.self_attn.v_proj.weight",
|
| 209 |
+
"model.layers.21.self_attn.o_proj.weight",
|
| 210 |
+
"model.layers.21.mlp.gate_proj.weight",
|
| 211 |
+
"model.layers.21.mlp.up_proj.weight",
|
| 212 |
+
"model.layers.21.mlp.down_proj.weight",
|
| 213 |
+
"model.layers.21.input_layernorm.weight",
|
| 214 |
+
"model.layers.21.post_attention_layernorm.weight",
|
| 215 |
+
"model.layers.22.self_attn.q_proj.weight",
|
| 216 |
+
"model.layers.22.self_attn.k_proj.weight",
|
| 217 |
+
"model.layers.22.self_attn.v_proj.weight",
|
| 218 |
+
"model.layers.22.self_attn.o_proj.weight",
|
| 219 |
+
"model.layers.22.mlp.gate_proj.weight",
|
| 220 |
+
"model.layers.22.mlp.up_proj.weight",
|
| 221 |
+
"model.layers.22.mlp.down_proj.weight",
|
| 222 |
+
"model.layers.22.input_layernorm.weight",
|
| 223 |
+
"model.layers.22.post_attention_layernorm.weight",
|
| 224 |
+
"model.layers.23.self_attn.q_proj.weight",
|
| 225 |
+
"model.layers.23.self_attn.k_proj.weight",
|
| 226 |
+
"model.layers.23.self_attn.v_proj.weight",
|
| 227 |
+
"model.layers.23.self_attn.o_proj.weight",
|
| 228 |
+
"model.layers.23.mlp.gate_proj.weight",
|
| 229 |
+
"model.layers.23.mlp.up_proj.weight",
|
| 230 |
+
"model.layers.23.mlp.down_proj.weight",
|
| 231 |
+
"model.layers.23.input_layernorm.weight",
|
| 232 |
+
"model.layers.23.post_attention_layernorm.weight",
|
| 233 |
+
"model.layers.24.self_attn.q_proj.weight",
|
| 234 |
+
"model.layers.24.self_attn.k_proj.weight",
|
| 235 |
+
"model.layers.24.self_attn.v_proj.weight",
|
| 236 |
+
"model.layers.24.self_attn.o_proj.weight",
|
| 237 |
+
"model.layers.24.mlp.gate_proj.weight",
|
| 238 |
+
"model.layers.24.mlp.up_proj.weight",
|
| 239 |
+
"model.layers.24.mlp.down_proj.weight",
|
| 240 |
+
"model.layers.24.input_layernorm.weight",
|
| 241 |
+
"model.layers.24.post_attention_layernorm.weight",
|
| 242 |
+
"model.layers.25.self_attn.q_proj.weight",
|
| 243 |
+
"model.layers.25.self_attn.k_proj.weight",
|
| 244 |
+
"model.layers.25.self_attn.v_proj.weight",
|
| 245 |
+
"model.layers.25.self_attn.o_proj.weight",
|
| 246 |
+
"model.layers.25.mlp.gate_proj.weight",
|
| 247 |
+
"model.layers.25.mlp.up_proj.weight",
|
| 248 |
+
"model.layers.25.mlp.down_proj.weight",
|
| 249 |
+
"model.layers.25.input_layernorm.weight",
|
| 250 |
+
"model.layers.25.post_attention_layernorm.weight",
|
| 251 |
+
"model.layers.26.self_attn.q_proj.weight",
|
| 252 |
+
"model.layers.26.self_attn.k_proj.weight",
|
| 253 |
+
"model.layers.26.self_attn.v_proj.weight",
|
| 254 |
+
"model.layers.26.self_attn.o_proj.weight",
|
| 255 |
+
"model.layers.26.mlp.gate_proj.weight",
|
| 256 |
+
"model.layers.26.mlp.up_proj.weight",
|
| 257 |
+
"model.layers.26.mlp.down_proj.weight",
|
| 258 |
+
"model.layers.26.input_layernorm.weight",
|
| 259 |
+
"model.layers.26.post_attention_layernorm.weight",
|
| 260 |
+
"model.layers.27.self_attn.q_proj.weight",
|
| 261 |
+
"model.layers.27.self_attn.k_proj.weight",
|
| 262 |
+
"model.layers.27.self_attn.v_proj.weight",
|
| 263 |
+
"model.layers.27.self_attn.o_proj.weight",
|
| 264 |
+
"model.layers.27.mlp.gate_proj.weight",
|
| 265 |
+
"model.layers.27.mlp.up_proj.weight",
|
| 266 |
+
"model.layers.27.mlp.down_proj.weight",
|
| 267 |
+
"model.layers.27.input_layernorm.weight",
|
| 268 |
+
"model.layers.27.post_attention_layernorm.weight",
|
| 269 |
+
"model.layers.28.self_attn.q_proj.weight",
|
| 270 |
+
"model.layers.28.self_attn.k_proj.weight",
|
| 271 |
+
"model.layers.28.self_attn.v_proj.weight",
|
| 272 |
+
"model.layers.28.self_attn.o_proj.weight",
|
| 273 |
+
"model.layers.28.mlp.gate_proj.weight",
|
| 274 |
+
"model.layers.28.mlp.up_proj.weight",
|
| 275 |
+
"model.layers.28.mlp.down_proj.weight",
|
| 276 |
+
"model.layers.28.input_layernorm.weight",
|
| 277 |
+
"model.layers.28.post_attention_layernorm.weight",
|
| 278 |
+
"model.layers.29.self_attn.q_proj.weight",
|
| 279 |
+
"model.layers.29.self_attn.k_proj.weight",
|
| 280 |
+
"model.layers.29.self_attn.v_proj.weight",
|
| 281 |
+
"model.layers.29.self_attn.o_proj.weight",
|
| 282 |
+
"model.layers.29.mlp.gate_proj.weight",
|
| 283 |
+
"model.layers.29.mlp.up_proj.weight",
|
| 284 |
+
"model.layers.29.mlp.down_proj.weight",
|
| 285 |
+
"model.layers.29.input_layernorm.weight",
|
| 286 |
+
"model.layers.29.post_attention_layernorm.weight",
|
| 287 |
+
"model.norm.weight",
|
| 288 |
+
"lm_head.weight"
|
| 289 |
+
]
|
| 290 |
+
}
|
logs/save_merged_model_20251009_191904.log
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Starting merged model save process
|
| 2 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Arguments: {'lambdas_path': '/work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/llm_adamerge_lambdas.json', 'model_config': '/work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/model_config.yaml', 'output_dir': '/work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler', 'model_name': 'merged-model', 'push_to_hub': False, 'hub_repo_id': 'lejelly/deepseek-ep3-10%dataset-taskwise-lambda07', 'private': False, 'device': 'cuda', 'debug': False}
|
| 3 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Loading lambdas from /work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/llm_adamerge_lambdas.json
|
| 4 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Auto-detected parameter-wise merge from JSON structure
|
| 5 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Merge type: parameter_wise
|
| 6 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - [Initial] Memory Usage:
|
| 7 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Process: 0.45 GB (0.2%)
|
| 8 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - System: 7.62 GB / 212.49 GB (8.2%)
|
| 9 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Available: 195.05 GB
|
| 10 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 11 |
+
2025-10-09 19:19:04 - experiment_save_merged_model - INFO - Loading models
|
| 12 |
+
2025-10-09 19:19:21 - experiment_save_merged_model - INFO - [After loading models] Memory Usage:
|
| 13 |
+
2025-10-09 19:19:21 - experiment_save_merged_model - INFO - Process: 38.81 GB (18.3%)
|
| 14 |
+
2025-10-09 19:19:21 - experiment_save_merged_model - INFO - System: 46.75 GB / 212.49 GB (29.9%)
|
| 15 |
+
2025-10-09 19:19:21 - experiment_save_merged_model - INFO - Available: 148.94 GB
|
| 16 |
+
2025-10-09 19:19:21 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 17 |
+
2025-10-09 19:19:21 - experiment_save_merged_model - INFO - Initializing parameter_wise AdaMerge
|
| 18 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Loading learned lambdas
|
| 19 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Deleting original models to free memory (task vectors already computed)
|
| 20 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - [Before deleting models] Memory Usage:
|
| 21 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Process: 64.60 GB (30.4%)
|
| 22 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - System: 72.42 GB / 212.49 GB (42.0%)
|
| 23 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Available: 123.23 GB
|
| 24 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 25 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Clearing model_loader references
|
| 26 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Deleting model variables
|
| 27 |
+
2025-10-09 19:20:30 - experiment_save_merged_model - INFO - Running garbage collection
|
| 28 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - [After deleting models and GC] Memory Usage:
|
| 29 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - Process: 38.84 GB (18.3%)
|
| 30 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - System: 47.01 GB / 212.49 GB (30.1%)
|
| 31 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - Available: 148.63 GB
|
| 32 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 33 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - [After loading lambdas] Memory Usage:
|
| 34 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - Process: 38.84 GB (18.3%)
|
| 35 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - System: 47.01 GB / 212.49 GB (30.1%)
|
| 36 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - Available: 148.63 GB
|
| 37 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 38 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - Creating merged model with learned lambdas
|
| 39 |
+
2025-10-09 19:20:31 - experiment_save_merged_model - INFO - Using merge_models_for_save()
|
| 40 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - [After merging models] Memory Usage:
|
| 41 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Process: 38.85 GB (18.3%)
|
| 42 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - System: 72.65 GB / 212.49 GB (42.1%)
|
| 43 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Available: 123.00 GB
|
| 44 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - GPU 0: Allocated: 12.87 GB, Reserved: 25.74 GB, Total: 94.50 GB
|
| 45 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Freeing memory from AdaMerge object (task vectors and base params no longer needed)
|
| 46 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Deleting task vectors
|
| 47 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Deleting base params
|
| 48 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Deleting functional model
|
| 49 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - [After freeing AdaMerge memory] Memory Usage:
|
| 50 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Process: 0.20 GB (0.1%)
|
| 51 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - System: 21.06 GB / 212.49 GB (17.8%)
|
| 52 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Available: 174.58 GB
|
| 53 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - GPU 0: Allocated: 12.87 GB, Reserved: 12.87 GB, Total: 94.50 GB
|
| 54 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Saving merged model to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler
|
| 55 |
+
2025-10-09 19:22:25 - experiment_save_merged_model - INFO - Moving merged model to CPU for saving
|
| 56 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Successfully saved 3 safetensors files:
|
| 57 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - - model-00003-of-00003.safetensors (3674.14 MB)
|
| 58 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - - model-00002-of-00003.safetensors (4750.20 MB)
|
| 59 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - - model-00001-of-00003.safetensors (4756.17 MB)
|
| 60 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - [After saving model] Memory Usage:
|
| 61 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Process: 13.09 GB (6.2%)
|
| 62 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - System: 21.23 GB / 212.49 GB (17.9%)
|
| 63 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Available: 174.42 GB
|
| 64 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 65 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Saving tokenizer
|
| 66 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Copied lambdas file to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler/learned_lambdas.json
|
| 67 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Creating model card
|
| 68 |
+
2025-10-09 19:23:17 - experiment_save_merged_model - INFO - Cleaning up models
|
| 69 |
+
2025-10-09 19:23:18 - experiment_save_merged_model - INFO - [After cleanup] Memory Usage:
|
| 70 |
+
2025-10-09 19:23:18 - experiment_save_merged_model - INFO - Process: 13.09 GB (6.2%)
|
| 71 |
+
2025-10-09 19:23:18 - experiment_save_merged_model - INFO - System: 21.23 GB / 212.49 GB (17.9%)
|
| 72 |
+
2025-10-09 19:23:18 - experiment_save_merged_model - INFO - Available: 174.41 GB
|
| 73 |
+
2025-10-09 19:23:18 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 74 |
+
2025-10-09 19:23:18 - experiment_save_merged_model - INFO - Model saved successfully to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler
|
logs/save_merged_model_20251009_192735.log
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Starting merged model save process
|
| 2 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Arguments: {'lambdas_path': '/work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/llm_adamerge_lambdas.json', 'model_config': '/work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/model_config.yaml', 'output_dir': '/work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler', 'model_name': 'merged-model', 'push_to_hub': False, 'hub_repo_id': 'lejelly/deepseek-ep310%data-taskwise-lambda07', 'private': False, 'device': 'cuda', 'debug': False}
|
| 3 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Loading lambdas from /work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/llm_adamerge_lambdas.json
|
| 4 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Auto-detected parameter-wise merge from JSON structure
|
| 5 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Merge type: parameter_wise
|
| 6 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - [Initial] Memory Usage:
|
| 7 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Process: 0.51 GB (0.2%)
|
| 8 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - System: 7.65 GB / 212.49 GB (8.2%)
|
| 9 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Available: 195.05 GB
|
| 10 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 11 |
+
2025-10-09 19:27:35 - experiment_save_merged_model - INFO - Loading models
|
| 12 |
+
2025-10-09 19:27:57 - experiment_save_merged_model - INFO - [After loading models] Memory Usage:
|
| 13 |
+
2025-10-09 19:27:57 - experiment_save_merged_model - INFO - Process: 38.82 GB (18.3%)
|
| 14 |
+
2025-10-09 19:27:57 - experiment_save_merged_model - INFO - System: 53.32 GB / 212.49 GB (33.0%)
|
| 15 |
+
2025-10-09 19:27:57 - experiment_save_merged_model - INFO - Available: 142.38 GB
|
| 16 |
+
2025-10-09 19:27:57 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 17 |
+
2025-10-09 19:27:57 - experiment_save_merged_model - INFO - Initializing parameter_wise AdaMerge
|
| 18 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - Loading learned lambdas
|
| 19 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - Deleting original models to free memory (task vectors already computed)
|
| 20 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - [Before deleting models] Memory Usage:
|
| 21 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - Process: 64.58 GB (30.4%)
|
| 22 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - System: 74.07 GB / 212.49 GB (42.8%)
|
| 23 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - Available: 121.59 GB
|
| 24 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 25 |
+
2025-10-09 19:29:06 - experiment_save_merged_model - INFO - Clearing model_loader references
|
| 26 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Deleting model variables
|
| 27 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Running garbage collection
|
| 28 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - [After deleting models and GC] Memory Usage:
|
| 29 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Process: 38.81 GB (18.3%)
|
| 30 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - System: 48.34 GB / 212.49 GB (30.7%)
|
| 31 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Available: 147.32 GB
|
| 32 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 33 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - [After loading lambdas] Memory Usage:
|
| 34 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Process: 38.81 GB (18.3%)
|
| 35 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - System: 48.34 GB / 212.49 GB (30.7%)
|
| 36 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Available: 147.32 GB
|
| 37 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 38 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Creating merged model with learned lambdas
|
| 39 |
+
2025-10-09 19:29:07 - experiment_save_merged_model - INFO - Using merge_models_for_save()
|
| 40 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - [After merging models] Memory Usage:
|
| 41 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - Process: 38.81 GB (18.3%)
|
| 42 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - System: 79.82 GB / 212.49 GB (45.5%)
|
| 43 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - Available: 115.83 GB
|
| 44 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - GPU 0: Allocated: 12.87 GB, Reserved: 25.74 GB, Total: 94.50 GB
|
| 45 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - Freeing memory from AdaMerge object (task vectors and base params no longer needed)
|
| 46 |
+
2025-10-09 19:31:01 - experiment_save_merged_model - INFO - Deleting task vectors
|
| 47 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - Deleting base params
|
| 48 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - Deleting functional model
|
| 49 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - [After freeing AdaMerge memory] Memory Usage:
|
| 50 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - Process: 0.16 GB (0.1%)
|
| 51 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - System: 27.78 GB / 212.49 GB (21.0%)
|
| 52 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - Available: 167.87 GB
|
| 53 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - GPU 0: Allocated: 12.87 GB, Reserved: 12.87 GB, Total: 94.50 GB
|
| 54 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - Saving merged model to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler
|
| 55 |
+
2025-10-09 19:31:02 - experiment_save_merged_model - INFO - Moving merged model to CPU for saving
|
| 56 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Successfully saved 3 safetensors files:
|
| 57 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - - model-00003-of-00003.safetensors (3674.14 MB)
|
| 58 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - - model-00002-of-00003.safetensors (4750.20 MB)
|
| 59 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - - model-00001-of-00003.safetensors (4756.17 MB)
|
| 60 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - [After saving model] Memory Usage:
|
| 61 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Process: 13.04 GB (6.1%)
|
| 62 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - System: 22.41 GB / 212.49 GB (18.5%)
|
| 63 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Available: 173.24 GB
|
| 64 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 65 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Saving tokenizer
|
| 66 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Copied lambdas file to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler/learned_lambdas.json
|
| 67 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Creating model card
|
| 68 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Cleaning up models
|
| 69 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - [After cleanup] Memory Usage:
|
| 70 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Process: 13.05 GB (6.1%)
|
| 71 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - System: 22.03 GB / 212.49 GB (18.3%)
|
| 72 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Available: 173.62 GB
|
| 73 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 74 |
+
2025-10-09 19:31:55 - experiment_save_merged_model - INFO - Model saved successfully to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler
|
logs/save_merged_model_20251009_193429.log
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-10-09 19:34:29 - experiment_save_merged_model - INFO - Starting merged model save process
|
| 2 |
+
2025-10-09 19:34:29 - experiment_save_merged_model - INFO - Arguments: {'lambdas_path': '/work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/llm_adamerge_lambdas.json', 'model_config': '/work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/model_config.yaml', 'output_dir': '/work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler', 'model_name': 'merged-model', 'push_to_hub': False, 'hub_repo_id': 'lejelly/deepseek-ep3-data10-taskwise-lambda07', 'private': False, 'device': 'cuda', 'debug': False}
|
| 3 |
+
2025-10-09 19:34:29 - experiment_save_merged_model - INFO - Loading lambdas from /work/gj26/b20042/LLM-AdaMerge/outputs/deepseek-7b/task-wise/cross_entropy-ep3-lr0001-10%dataset-lambda07_wo_scheduler/llm_adamerge_lambdas.json
|
| 4 |
+
2025-10-09 19:34:29 - experiment_save_merged_model - INFO - Auto-detected parameter-wise merge from JSON structure
|
| 5 |
+
2025-10-09 19:34:29 - experiment_save_merged_model - INFO - Merge type: parameter_wise
|
| 6 |
+
2025-10-09 19:34:30 - experiment_save_merged_model - INFO - [Initial] Memory Usage:
|
| 7 |
+
2025-10-09 19:34:30 - experiment_save_merged_model - INFO - Process: 0.45 GB (0.2%)
|
| 8 |
+
2025-10-09 19:34:30 - experiment_save_merged_model - INFO - System: 7.58 GB / 212.49 GB (8.2%)
|
| 9 |
+
2025-10-09 19:34:30 - experiment_save_merged_model - INFO - Available: 195.10 GB
|
| 10 |
+
2025-10-09 19:34:30 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 11 |
+
2025-10-09 19:34:30 - experiment_save_merged_model - INFO - Loading models
|
| 12 |
+
2025-10-09 19:34:47 - experiment_save_merged_model - INFO - [After loading models] Memory Usage:
|
| 13 |
+
2025-10-09 19:34:47 - experiment_save_merged_model - INFO - Process: 38.80 GB (18.3%)
|
| 14 |
+
2025-10-09 19:34:47 - experiment_save_merged_model - INFO - System: 48.73 GB / 212.49 GB (30.8%)
|
| 15 |
+
2025-10-09 19:34:47 - experiment_save_merged_model - INFO - Available: 146.96 GB
|
| 16 |
+
2025-10-09 19:34:47 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 17 |
+
2025-10-09 19:34:47 - experiment_save_merged_model - INFO - Initializing parameter_wise AdaMerge
|
| 18 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Loading learned lambdas
|
| 19 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Deleting original models to free memory (task vectors already computed)
|
| 20 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - [Before deleting models] Memory Usage:
|
| 21 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Process: 64.61 GB (30.4%)
|
| 22 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - System: 73.23 GB / 212.49 GB (42.4%)
|
| 23 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Available: 122.42 GB
|
| 24 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 25 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Clearing model_loader references
|
| 26 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Deleting model variables
|
| 27 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Running garbage collection
|
| 28 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - [After deleting models and GC] Memory Usage:
|
| 29 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Process: 38.85 GB (18.3%)
|
| 30 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - System: 47.78 GB / 212.49 GB (30.4%)
|
| 31 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Available: 147.86 GB
|
| 32 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 33 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - [After loading lambdas] Memory Usage:
|
| 34 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Process: 38.85 GB (18.3%)
|
| 35 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - System: 47.78 GB / 212.49 GB (30.4%)
|
| 36 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Available: 147.86 GB
|
| 37 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 38 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Creating merged model with learned lambdas
|
| 39 |
+
2025-10-09 19:35:57 - experiment_save_merged_model - INFO - Using merge_models_for_save()
|
| 40 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - [After merging models] Memory Usage:
|
| 41 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Process: 38.80 GB (18.3%)
|
| 42 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - System: 72.57 GB / 212.49 GB (42.1%)
|
| 43 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Available: 123.07 GB
|
| 44 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - GPU 0: Allocated: 12.87 GB, Reserved: 25.74 GB, Total: 94.50 GB
|
| 45 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Freeing memory from AdaMerge object (task vectors and base params no longer needed)
|
| 46 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Deleting task vectors
|
| 47 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Deleting base params
|
| 48 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Deleting functional model
|
| 49 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - [After freeing AdaMerge memory] Memory Usage:
|
| 50 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Process: 0.14 GB (0.1%)
|
| 51 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - System: 21.03 GB / 212.49 GB (17.8%)
|
| 52 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Available: 174.61 GB
|
| 53 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - GPU 0: Allocated: 12.87 GB, Reserved: 12.87 GB, Total: 94.50 GB
|
| 54 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Saving merged model to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler
|
| 55 |
+
2025-10-09 19:37:52 - experiment_save_merged_model - INFO - Moving merged model to CPU for saving
|
| 56 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Successfully saved 3 safetensors files:
|
| 57 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - - model-00003-of-00003.safetensors (3674.14 MB)
|
| 58 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - - model-00002-of-00003.safetensors (4750.20 MB)
|
| 59 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - - model-00001-of-00003.safetensors (4756.17 MB)
|
| 60 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - [After saving model] Memory Usage:
|
| 61 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Process: 13.02 GB (6.1%)
|
| 62 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - System: 21.25 GB / 212.49 GB (17.9%)
|
| 63 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Available: 174.39 GB
|
| 64 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 65 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Saving tokenizer
|
| 66 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Copied lambdas file to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler/learned_lambdas.json
|
| 67 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Creating model card
|
| 68 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Cleaning up models
|
| 69 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - [After cleanup] Memory Usage:
|
| 70 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Process: 13.03 GB (6.1%)
|
| 71 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - System: 21.26 GB / 212.49 GB (17.9%)
|
| 72 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Available: 174.38 GB
|
| 73 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - GPU 0: Allocated: 0.00 GB, Reserved: 0.00 GB, Total: 94.50 GB
|
| 74 |
+
2025-10-09 19:38:45 - experiment_save_merged_model - INFO - Model saved successfully to /work/gj26/b20042/LLM-AdaMerge/mergekit/outputs/deepseek-7b/llmadamerge/task-wise-cross_entropy-lr0001-ep3-10%dataset/lambda07_wo_scheduler
|
model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:716299e68d13d4307ae782120983bf5421f68b4829ae27399906b2828dcd951e
|
| 3 |
+
size 4987202112
|
model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33578069f24de58a8de312ed2c46890a81297f93237231100299646c1c504ad2
|
| 3 |
+
size 4980945328
|
model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a74789c74dbad1a0da08ad61ec7606847bec8b267f71502664fe215aaeba3922
|
| 3 |
+
size 3852615456
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,280 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 13820731392
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 224 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 225 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 226 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 227 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 228 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 229 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 230 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 231 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 232 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 233 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 234 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 235 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 236 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 237 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 238 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 239 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 240 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 241 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 242 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 243 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 244 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 245 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 246 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 247 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 248 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 249 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 250 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 251 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 252 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 253 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 254 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 255 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 256 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 257 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 258 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 259 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 260 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 261 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 262 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 263 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 264 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 265 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 266 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 267 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 268 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 269 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 270 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 271 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 272 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 273 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 274 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 275 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 276 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 277 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 278 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
| 279 |
+
}
|
| 280 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin▁of▁sentence|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|EOT|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|end▁of▁sentence|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,146 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"100000": {
|
| 7 |
+
"content": "<|begin▁of▁sentence|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": true,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"100001": {
|
| 15 |
+
"content": "<|end▁of▁sentence|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"100002": {
|
| 23 |
+
"content": "ø",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"100003": {
|
| 31 |
+
"content": "ö",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"100004": {
|
| 39 |
+
"content": "ú",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": true,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"100005": {
|
| 47 |
+
"content": "ÿ",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": true,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"100006": {
|
| 55 |
+
"content": "õ",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": true,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"100007": {
|
| 63 |
+
"content": "÷",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": true,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": false
|
| 69 |
+
},
|
| 70 |
+
"100008": {
|
| 71 |
+
"content": "û",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": true,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": false
|
| 77 |
+
},
|
| 78 |
+
"100009": {
|
| 79 |
+
"content": "ý",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": true,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": false
|
| 85 |
+
},
|
| 86 |
+
"100010": {
|
| 87 |
+
"content": "À",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": true,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": false
|
| 93 |
+
},
|
| 94 |
+
"100011": {
|
| 95 |
+
"content": "ù",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": true,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": false
|
| 101 |
+
},
|
| 102 |
+
"100012": {
|
| 103 |
+
"content": "Á",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": true,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": false
|
| 109 |
+
},
|
| 110 |
+
"100013": {
|
| 111 |
+
"content": "þ",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": true,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": false
|
| 117 |
+
},
|
| 118 |
+
"100014": {
|
| 119 |
+
"content": "ü",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": true,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"100015": {
|
| 127 |
+
"content": "<|EOT|>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": true,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": true
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
| 136 |
+
"clean_up_tokenization_spaces": false,
|
| 137 |
+
"eos_token": "<|EOT|>",
|
| 138 |
+
"extra_special_tokens": {},
|
| 139 |
+
"legacy": true,
|
| 140 |
+
"model_max_length": 4096,
|
| 141 |
+
"pad_token": "<|end▁of▁sentence|>",
|
| 142 |
+
"sp_model_kwargs": {},
|
| 143 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
| 144 |
+
"unk_token": null,
|
| 145 |
+
"use_default_system_prompt": false
|
| 146 |
+
}
|