RichardErkhov/lodrick-the-lafted_-_Grafted-Titanic-Dolphin-2x120B-gguf
018
Quantization made by Richard Erkhov.
Grafted-Titanic-Dolphin-2x120B - GGUF
- Model creator: https://huggingface.co/lodrick-the-lafted/
- Original model: https://huggingface.co/lodrick-the-lafted/Grafted-Titanic-Dolphin-2x120B/
Original model description: --- license: llama2 tags:
- moe
- merge ---
Where we're going, we don't need reason.
Goliath x MegaDolphin.
Imagine trying to QuIP# this thing?
<img src=https://huggingface.co/lodrick-the-lafted/Grafted-Titanic-Dolphin-2x120B/resolve/main/gtd.png>
Official hall of shame winner at https://merge.moe. This would not have been possible without Charles Goddard's hard work!
💻 Usage
from transformers import AutoTokenizer
import transformers
import torch
model = "lodrick-the-lafted/Grafted-Titanic-Dolphin-2x120B"
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"])