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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
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
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
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
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
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
Jan banner

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

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

image/png

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

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