language, license, tags, model-index

language	license	tags	model-index
en	apache-2.0	merge	name results NeuralHermes-MoE-2x7B task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 62.12 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/NeuralHermes-MoE-2x7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 84.21 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/NeuralHermes-MoE-2x7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 64.56 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/NeuralHermes-MoE-2x7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 43.61 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/NeuralHermes-MoE-2x7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 78.14 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/NeuralHermes-MoE-2x7B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 51.86 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibndias/NeuralHermes-MoE-2x7B Open LLM Leaderboard

NeuralHermes-MoE-2x7B

This is a mix between teknium/OpenHermes-2.5-Mistral-7B and Intel/neural-chat-7b-v3-3. Using mistralai/Mistral-7B-v0.1 as the base model.

This Mixture of Expert was done using mergekit method.

Getting Started

import torch
from transformers import pipeline

pipe = pipeline("text-generation", model="ibndias/NeuralHermes-MoE-2x7B",torch_dtype=torch.bfloat16, device_map="auto")

prompt = """<|system|> You are a helpful assistant.
<|user|>
Write me bash script to scan ip 192.3.1.4 with nmap only port that ends with 9 from 1-100.
<|assistant|>
"""
outputs = pipe(prompt, max_new_tokens=512, do_sample=True, temperature=0.2, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

Output:

<|system|> You are a helpful assistant. <|user|> Write me bash script to scan ip 192.3.1.4 with nmap only port that ends with 9 from 1-100. <|assistant|> Sure, here's a bash script that scans the specified IP address with nmap for open ports that end with 9 from 1 to 100:

#!/bin/bash
IP_ADDRESS="192.3.1.4"
START_PORT=1
END_PORT=100
for ((i=$START_PORT; i<=$END_PORT; i++)); do
   PORT=$i
   if [[ $PORT % 10 == 9 ]]; then
       nmap -p $PORT $IP_ADDRESS
   fi
done

Save the script with a.sh extension (e.g., scan_ports.sh) and make it executable by running chmod +x scan_ports.sh. Then, run the script by executing ./scan_ports.sh. ...

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	64.08
AI2 Reasoning Challenge (25-Shot)	62.12
HellaSwag (10-Shot)	84.21
MMLU (5-Shot)	64.56
TruthfulQA (0-shot)	43.61
Winogrande (5-shot)	78.14
GSM8k (5-shot)	51.86