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---
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.
``` |