108 lines
3.0 KiB
Markdown
108 lines
3.0 KiB
Markdown
|
---
|
||
|
|
tags:
|
||
|
|
- merge
|
||
|
|
- mergekit
|
||
|
|
- lazymergekit
|
||
|
|
- liminerity/M7-7b
|
||
|
|
- Kukedlc/Neural4gsm8k
|
||
|
|
- Kukedlc/Jupiter-k-7B-slerp
|
||
|
|
- Kukedlc/NeuralMaxime-7B-slerp
|
||
|
|
- Kukedlc/NeuralFusion-7b-Dare-Ties
|
||
|
|
- Kukedlc/Neural-Krishna-Multiverse-7b-v3
|
||
|
|
- Kukedlc/NeuTrixOmniBe-DPO
|
||
|
|
- Kukedlc/NeuralSirKrishna-7b
|
||
|
|
base_model:
|
||
|
|
- liminerity/M7-7b
|
||
|
|
- Kukedlc/Neural4gsm8k
|
||
|
|
- Kukedlc/Jupiter-k-7B-slerp
|
||
|
|
- Kukedlc/NeuralMaxime-7B-slerp
|
||
|
|
- Kukedlc/NeuralFusion-7b-Dare-Ties
|
||
|
|
- Kukedlc/Neural-Krishna-Multiverse-7b-v3
|
||
|
|
- Kukedlc/NeuTrixOmniBe-DPO
|
||
|
|
- Kukedlc/NeuralSirKrishna-7b
|
||
|
|
license: apache-2.0
|
||
|
|
---
|
||
|
|
|
||
|
|
# MyModelsMerge-7b
|
||
|
|
|
||
|
|
MyModelsMerge-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
|
||
|
|
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
|
||
|
|
* [Kukedlc/Neural4gsm8k](https://huggingface.co/Kukedlc/Neural4gsm8k)
|
||
|
|
* [Kukedlc/Jupiter-k-7B-slerp](https://huggingface.co/Kukedlc/Jupiter-k-7B-slerp)
|
||
|
|
* [Kukedlc/NeuralMaxime-7B-slerp](https://huggingface.co/Kukedlc/NeuralMaxime-7B-slerp)
|
||
|
|
* [Kukedlc/NeuralFusion-7b-Dare-Ties](https://huggingface.co/Kukedlc/NeuralFusion-7b-Dare-Ties)
|
||
|
|
* [Kukedlc/Neural-Krishna-Multiverse-7b-v3](https://huggingface.co/Kukedlc/Neural-Krishna-Multiverse-7b-v3)
|
||
|
|
* [Kukedlc/NeuTrixOmniBe-DPO](https://huggingface.co/Kukedlc/NeuTrixOmniBe-DPO)
|
||
|
|
* [Kukedlc/NeuralSirKrishna-7b](https://huggingface.co/Kukedlc/NeuralSirKrishna-7b)
|
||
|
|
|
||
|
|
## 🧩 Configuration
|
||
|
|
|
||
|
|
```yaml
|
||
|
|
models:
|
||
|
|
- model: Kukedlc/NeuralSirKrishna-7b
|
||
|
|
# no parameters necessary for base model
|
||
|
|
- model: liminerity/M7-7b
|
||
|
|
parameters:
|
||
|
|
weight: 0.1
|
||
|
|
density: 0.88
|
||
|
|
- model: Kukedlc/Neural4gsm8k
|
||
|
|
parameters:
|
||
|
|
weight: 0.1
|
||
|
|
density: 0.66
|
||
|
|
- model: Kukedlc/Jupiter-k-7B-slerp
|
||
|
|
parameters:
|
||
|
|
weight: 0.1
|
||
|
|
density: 0.66
|
||
|
|
- model: Kukedlc/NeuralMaxime-7B-slerp
|
||
|
|
parameters:
|
||
|
|
weight: 0.1
|
||
|
|
density: 0.44
|
||
|
|
- model: Kukedlc/NeuralFusion-7b-Dare-Ties
|
||
|
|
parameters:
|
||
|
|
weight: 0.1
|
||
|
|
density: 0.44
|
||
|
|
- model: Kukedlc/Neural-Krishna-Multiverse-7b-v3
|
||
|
|
parameters:
|
||
|
|
weight: 0.2
|
||
|
|
density: 0.66
|
||
|
|
- model: Kukedlc/NeuTrixOmniBe-DPO
|
||
|
|
parameters:
|
||
|
|
weight: 0.1
|
||
|
|
density: 0.33
|
||
|
|
- model: Kukedlc/NeuralSirKrishna-7b
|
||
|
|
parameters:
|
||
|
|
weight: 0.2
|
||
|
|
density: 0.88
|
||
|
|
merge_method: dare_ties
|
||
|
|
base_model: Kukedlc/NeuralSirKrishna-7b
|
||
|
|
|
||
|
|
parameters:
|
||
|
|
int8_mask: true
|
||
|
|
normalize: true
|
||
|
|
dtype: bfloat16
|
||
|
|
```
|
||
|
|
|
||
|
|
## 💻 Usage
|
||
|
|
|
||
|
|
```python
|
||
|
|
!pip install -qU transformers accelerate
|
||
|
|
|
||
|
|
from transformers import AutoTokenizer
|
||
|
|
import transformers
|
||
|
|
import torch
|
||
|
|
|
||
|
|
model = "Kukedlc/MyModelsMerge-7b"
|
||
|
|
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"])
|
||
|
|
```
|