language, license, model-index

language	license	model-index
en	apache-2.0	name results supermario-v2 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 68.52 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 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 86.51 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 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 64.88 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 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 60.58 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 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 81.37 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 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 72.18 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-v2 Open LLM Leaderboard

Jan - Discord

Model Description

This model uses the DARE_TIES merge method from 3 models:

1. OpenHermes-2.5-neural-chat-v3-3-Slerp
2. MetaMath-Cybertron-Starling
3. Marcoroni-7B-v3

• base model: Mistral-7B-v0.1

The yaml config file for this model here:

base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16
merge_method: dare_ties
models:
- model: mistralai/Mistral-7B-v0.1
- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
  parameters:
    density: 0.8
    weight: 0.4
- model: Q-bert/MetaMath-Cybertron-Starling
  parameters:
    density: 0.8
    weight: 0.3
- model: AIDC-ai-business/Marcoroni-7B-v3
  parameters:
    density: 0.8
    weight: 0.3
parameters:
  int8_mask: true

Prompt template:

• ChatML

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

• System

### System:
{system}
### User:
{user}
### Assistant:

Run this model

You can run this model using Jan Desktop on Mac, Windows, or Linux.

Jan is an open source, ChatGPT alternative that is:

• 💻 100% offline on your machine: Your conversations remain confidential, and visible only to you.
• 🗂️ An Open File Format: Conversations and model settings stay on your computer and can be exported or deleted at any time.
• 🌐 OpenAI Compatible: Local server on port 1337 with OpenAI compatible endpoints
• 🌍 Open Source & Free: We build in public; check out our Github

About Jan

Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.

Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.

Jan Model Merger

This is a test project for merging models.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here.

Metric	Value
Avg.	72.36
ARC (25-shot)	68.52
HellaSwag (10-shot)	86.51
MMLU (5-shot)	64.88
TruthfulQA (0-shot)	60.58
Winogrande (5-shot)	81.37
GSM8K (5-shot)	72.18

Acknowlegement

• mergekit
• DARE
• lm-evaluation-harness

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	72.34
AI2 Reasoning Challenge (25-Shot)	68.52
HellaSwag (10-Shot)	86.51
MMLU (5-Shot)	64.88
TruthfulQA (0-shot)	60.58
Winogrande (5-shot)	81.37
GSM8k (5-shot)	72.18