Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
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
text-generation-inference
Inference Endpoints
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"]) | |
``` |