Noro-Hermes-3x7B
Noro-Hermes-3x7B is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
- NousResearch/Nous-Hermes-2-Mistral-7B-DPO
- NeverSleep/Noromaid-7B-0.4-DPO
- mistralai/Mistral-7B-Instruct-v0.2
𧩠Configuration
base_model: mistralai/Mistral-7B-Instruct-v0.2
dtype: bfloat16
gate_mode: hidden
experts:
- source_model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
positive_prompts: ["You are an intelligent assistant."]
- source_model: NeverSleep/Noromaid-7B-0.4-DPO
positive_prompts: ["You are a creative roleplaying assistant."]
- source_model: mistralai/Mistral-7B-Instruct-v0.2
positive_prompts: ["You are a general purpose assistant."]
π» Usage
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "ThomasComics/Noro-Hermes-3x7B"
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"])
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for ThomasComics/Noro-Hermes-3x7B
Merge model
this model