jan-hq/supermario-v1

Jan - Discord

Model Description

This model uses the DARE_TIES merge method.

NOTE: Due to the mismatch of architecture between Llama and Mistral, Magicoder-S-CL-7B layers will be skipped

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: 0.3
- model: Q-bert/MetaMath-Cybertron-Starling
  parameters:
    density: 0.8
    weight: 0.3
- model: ise-uiuc/Magicoder-S-CL-7B
  parameters:
    density: 0.6
    weight: 0.2
- model: AIDC-ai-business/Marcoroni-7B-v3
  parameters:
    density: 0.6
    weight: 0.2
parameters:
  int8_mask: true

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.	?
ARC (25-shot)	?
HellaSwag (10-shot)	?
MMLU (5-shot)	?
TruthfulQA (0-shot)	?
Winogrande (5-shot)	?
GSM8K (5-shot)	?

Acknowlegement

• mergekit
• DARE
• lm-evaluation-harness

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	29.49
AI2 Reasoning Challenge (25-Shot)	27.73
HellaSwag (10-Shot)	25.83
MMLU (5-Shot)	27.04
TruthfulQA (0-shot)	47.27
Winogrande (5-shot)	49.09
GSM8k (5-shot)	0.00