File size: 1,666 Bytes
55e32f4 189dc09 0b5847e 55e32f4 |
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 |
---
tags:
- merge
- mergekit
- lazymergekit
- localfultonextractor/Erosumika-7B-v3-0.2
- KoboldAI/Mistral-7B-Holodeck-1
base_model:
- localfultonextractor/Erosumika-7B-v3-0.2
- KoboldAI/Mistral-7B-Holodeck-1
---
# HoloSumika-7B-test
first testing impression: this one seems u(n)s(t)able
HoloSumika-7B-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [localfultonextractor/Erosumika-7B-v3-0.2](https://huggingface.co/localfultonextractor/Erosumika-7B-v3-0.2)
* [KoboldAI/Mistral-7B-Holodeck-1](https://huggingface.co/KoboldAI/Mistral-7B-Holodeck-1)
## 🧩 Configuration
```yaml
slices:
- sources:
- model: localfultonextractor/Erosumika-7B-v3-0.2
layer_range: [0, 32]
- model: KoboldAI/Mistral-7B-Holodeck-1
layer_range: [0, 32]
merge_method: slerp
base_model: localfultonextractor/Erosumika-7B-v3-0.2
parameters:
t:
- value: 0.32
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "son-of-man/HoloSumika-7B-test"
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"])
``` |