RandomMergeNoNormWEIGHTED-7B-2x7BMOE
RandomMergeNoNormWEIGHTED-7B-2x7BMOE is a Mixure of Experts (MoE) made with the following models using LazyMergekit:
🧩 Configuration
base_model: mistralai/Mistral-7B-Instruct-v0.2
gate_mode: cheap_embed
dtype: float16
experts:
- source_model: mistralai/Mistral-7B-Instruct-v0.2
positive_prompts: ["science, logic, math"]
- source_model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
positive_prompts: ["roleplay, creativity, fiction"]
💻 Usage
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jsfs11/RandomMergeNoNormWEIGHTED-7B-2x7BMOE"
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"])