File size: 4,788 Bytes
a07e925 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 |
---
base_model:
- m-a-p/neo_7b
- DewEfresh/neo_7b
tags:
- merge
- mergekit
- lazymergekit
- m-a-p/neo_7b
- DewEfresh/neo_7b
---
# Neo_7b-merge8
Neo_7b-merge8 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [m-a-p/neo_7b](https://huggingface.co/m-a-p/neo_7b)
* [DewEfresh/neo_7b](https://huggingface.co/DewEfresh/neo_7b)
## 🧩 Configuration
```yaml
slices:
# Group 1 (layers 0-3 to 0-2)
- sources:
- model: m-a-p/neo_7b
layer_range: [0, 0]
- model: DewEfresh/neo_7b
layer_range: [3, 3]
- sources:
- model: m-a-p/neo_7b
layer_range: [1, 1]
- model: DewEfresh/neo_7b
layer_range: [3, 3]
- sources:
- model: m-a-p/neo_7b
layer_range: [2, 2]
- model: DewEfresh/neo_7b
layer_range: [3, 3]
# Group 2 (layers 4-7 to 3-5)
- sources:
- model: m-a-p/neo_7b
layer_range: [3, 3]
- model: DewEfresh/neo_7b
layer_range: [7, 7]
- sources:
- model: m-a-p/neo_7b
layer_range: [4, 4]
- model: DewEfresh/neo_7b
layer_range: [7, 7]
- sources:
- model: m-a-p/neo_7b
layer_range: [5, 5]
- model: DewEfresh/neo_7b
layer_range: [7, 7]
# Group 3 (layers 8-11 to 6-8)
- sources:
- model: m-a-p/neo_7b
layer_range: [6, 6]
- model: DewEfresh/neo_7b
layer_range: [11, 11]
- sources:
- model: m-a-p/neo_7b
layer_range: [7, 7]
- model: DewEfresh/neo_7b
layer_range: [11, 11]
- sources:
- model: m-a-p/neo_7b
layer_range: [8, 8]
- model: DewEfresh/neo_7b
layer_range: [11, 11]
# Group 4 (layers 12-15 to 9-11)
- sources:
- model: m-a-p/neo_7b
layer_range: [9, 9]
- model: DewEfresh/neo_7b
layer_range: [15, 15]
- sources:
- model: m-a-p/neo_7b
layer_range: [10, 10]
- model: DewEfresh/neo_7b
layer_range: [15, 15]
- sources:
- model: m-a-p/neo_7b
layer_range: [11, 11]
- model: DewEfresh/neo_7b
layer_range: [15, 15]
# Group 5 (layers 16-19 to 12-14)
- sources:
- model: m-a-p/neo_7b
layer_range: [12, 12]
- model: DewEfresh/neo_7b
layer_range: [19, 19]
- sources:
- model: m-a-p/neo_7b
layer_range: [13, 13]
- model: DewEfresh/neo_7b
layer_range: [19, 19]
- sources:
- model: m-a-p/neo_7b
layer_range: [14, 14]
- model: DewEfresh/neo_7b
layer_range: [19, 19]
# Group 6 (layers 20-23 to 15-17)
- sources:
- model: m-a-p/neo_7b
layer_range: [15, 15]
- model: DewEfresh/neo_7b
layer_range: [23, 23]
- sources:
- model: m-a-p/neo_7b
layer_range: [16, 16]
- model: DewEfresh/neo_7b
layer_range: [23, 23]
- sources:
- model: m-a-p/neo_7b
layer_range: [17, 17]
- model: DewEfresh/neo_7b
layer_range: [23, 23]
# Group 7 (layers 24-27 to 18-20)
- sources:
- model: m-a-p/neo_7b
layer_range: [18, 18]
- model: DewEfresh/neo_7b
layer_range: [27, 27]
- sources:
- model: m-a-p/neo_7b
layer_range: [19, 19]
- model: DewEfresh/neo_7b
layer_range: [27, 27]
- sources:
- model: m-a-p/neo_7b
layer_range: [20, 20]
- model: DewEfresh/neo_7b
layer_range: [27, 27]
merge_method: slerp
base_model: m-a-p/neo_7b
parameters:
t:
- 0.75 # Weight for m-a-p/neo_7b layer
- 0.25 # Weight for the 4th DewEfresh/neo_7b layer being merged
dtype: bfloat16
output_path: ./merged_reduced_map_dewefresh_neo_7b
model_config:
architectures: ["LlamaForCausalLM"]
attention_bias: false
attention_dropout: 0.0
hidden_act: "silu"
hidden_size: 3072
intermediate_size: 24576
max_position_embeddings: 8192
model_type: "llama"
num_attention_heads: 16
num_hidden_layers: 21 # Reduced from 28 to 21
num_key_value_heads: 16
rms_norm_eps: 1e-05
rope_theta: 10000.0
use_cache: true
vocab_size: 64256
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "DewEfresh/Neo_7b-merge8"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |