|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- moe |
|
|
- frankenmoe |
|
|
- merge |
|
|
- mergekit |
|
|
- lazymergekit |
|
|
- eren23/dpo-binarized-NeuralTrix-7B |
|
|
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo |
|
|
- Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp |
|
|
- cognitivecomputations/WestLake-7B-v2-laser |
|
|
base_model: |
|
|
- eren23/dpo-binarized-NeuralTrix-7B |
|
|
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo |
|
|
- Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp |
|
|
- cognitivecomputations/WestLake-7B-v2-laser |
|
|
--- |
|
|
|
|
|
# CrystalMistral-24B |
|
|
|
|
|
CrystalMistral-24B is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
|
|
* [eren23/dpo-binarized-NeuralTrix-7B](https://huggingface.co/eren23/dpo-binarized-NeuralTrix-7B) |
|
|
* [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo) |
|
|
* [Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp) |
|
|
* [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) |
|
|
|
|
|
## 🧩 Configuration |
|
|
|
|
|
```yaml |
|
|
base_model: eren23/dpo-binarized-NeuralTrix-7B |
|
|
gate_mode: hidden |
|
|
dtype: bfloat16 |
|
|
experts: |
|
|
- source_model: eren23/dpo-binarized-NeuralTrix-7B |
|
|
positive_prompts: |
|
|
- "Generate a response to a given situation" |
|
|
- "Explain the concept of climate change" |
|
|
- source_model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo |
|
|
positive_prompts: |
|
|
- "What is the capital of France?" |
|
|
- "Who wrote the novel 'Pride and Prejudice'?" |
|
|
- source_model: Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp |
|
|
positive_prompts: |
|
|
- "Write a short poem about spring" |
|
|
- "Design a logo for a tech startup called 'GreenLeaf'" |
|
|
- source_model: cognitivecomputations/WestLake-7B-v2-laser |
|
|
positive_prompts: |
|
|
- "Solve the equation x^2 + 3x - 10 = 0" |
|
|
- "Calculate the area of a circle with radius 5 units" |
|
|
|
|
|
``` |
|
|
|
|
|
## 💻 Usage |
|
|
|
|
|
```python |
|
|
!pip install -qU transformers bitsandbytes accelerate |
|
|
|
|
|
from transformers import AutoTokenizer |
|
|
import transformers |
|
|
import torch |
|
|
|
|
|
model = "Crystalcareai/CrystalMistral-24B" |
|
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model) |
|
|
pipeline = transformers.pipeline( |
|
|
"text-generation", |
|
|
model=model, |
|
|
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True}, |
|
|
) |
|
|
|
|
|
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}] |
|
|
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
|
|
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"]) |
|
|
``` |
