|
--- |
|
license: apache-2.0 |
|
tags: |
|
- merge |
|
- mergekit |
|
- lazymergekit |
|
- sethuiyer/SynthIQ-7b |
|
- openchat/openchat-3.5-0106 |
|
--- |
|
|
|
# Chikuma |
|
|
|
Chikuma is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
|
* [sethuiyer/SynthIQ-7b](https://huggingface.co/sethuiyer/SynthIQ-7b) |
|
* [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106) |
|
|
|
## 🧩 Configuration |
|
|
|
```yaml |
|
slices: |
|
- sources: |
|
- model: sethuiyer/SynthIQ-7b |
|
layer_range: [0, 24] |
|
- sources: |
|
- model: openchat/openchat-3.5-0106 |
|
layer_range: [8, 32] |
|
merge_method: passthrough |
|
dtype: bfloat16 |
|
``` |
|
|
|
## 💻 Usage |
|
|
|
```python |
|
!pip install -qU transformers accelerate |
|
|
|
from transformers import AutoTokenizer |
|
import transformers |
|
import torch |
|
|
|
model = "sethuiyer/Chikuma" |
|
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"]) |
|
``` |
|
|
|
```text |
|
A large language model is a type of artificial intelligence (AI) system that has been trained on a vast amount of text data to understand and generate human-like text. |
|
These models are capable of tasks such as text generation, translation, summarization, and more. They have a vast vocabulary and contextual understanding of language, allowing them to generate coherent and relevant responses. |
|
Examples of large language models include GPT-3, OpenAI's text-based model, and Google's BERT, which is designed for natural language understanding. |
|
``` |