supermario-slerp / README.md

Adding Evaluation Results (#2)

dabf2a8 verified 8 months ago

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	---
	language:
	- en
	license: apache-2.0
	model-index:
	- name: supermario-slerp
	results:
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: AI2 Reasoning Challenge (25-Shot)
	type: ai2_arc
	config: ARC-Challenge
	split: test
	args:
	num_few_shot: 25
	metrics:
	- type: acc_norm
	value: 68.94
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-slerp
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: HellaSwag (10-Shot)
	type: hellaswag
	split: validation
	args:
	num_few_shot: 10
	metrics:
	- type: acc_norm
	value: 86.58
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-slerp
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: MMLU (5-Shot)
	type: cais/mmlu
	config: all
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 64.93
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-slerp
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: TruthfulQA (0-shot)
	type: truthful_qa
	config: multiple_choice
	split: validation
	args:
	num_few_shot: 0
	metrics:
	- type: mc2
	value: 60.11
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-slerp
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: Winogrande (5-shot)
	type: winogrande
	config: winogrande_xl
	split: validation
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 81.29
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-slerp
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: GSM8k (5-shot)
	type: gsm8k
	config: main
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 72.1
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=janhq/supermario-slerp
	name: Open LLM Leaderboard
	---
	<!-- header start -->
	<!-- 200823 -->
	<div style="width: auto; margin-left: auto; margin-right: auto">
	<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner" style="width: 100%; min-width: 400px; display: block; margin: auto;">
	</div>

	<p align="center">
	<a href="https://jan.ai/">Jan</a>
	- <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
	</p>
	<!-- header end -->

	# Model Description
	This model uses the `Slerp` merge method from 2 models:
	1. [Seraph-7B](https://huggingface.co/Weyaxi/Seraph-7B)
	2. [Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)

	- base model: [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)

	The yaml config file for this model is here:

	```yaml
	slices:
	- sources:
	- model: Weyaxi/Seraph-7B
	layer_range: [0, 32]

	- model: AIDC-ai-business/Marcoroni-7B-v3
	layer_range: [0, 32]
	merge_method: slerp
	base_model: mistralai/Mistral-7B-v0.1
	parameters:
	t:
	- filter: self_attn
	value: [0, 0.5, 0.3, 0.7, 1]
	- filter: mlp
	value: [1, 0.5, 0.7, 0.3, 0]
	- value: 0.5
	dtype: bfloat16
	```

	# Run this model
	You can run this model using [Jan Desktop](https://jan.ai/) 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](https://github.com/janhq)

	![image/png](https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/r7VmEBLGXpPLTu2MImM7S.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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)

	Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-slerp).

	\| Metric \| Value \|
	\|-----------------------\|---------------------------\|
	\| Avg. \| 72.32\|
	\| ARC (25-shot) \| 68.94 \|
	\| HellaSwag (10-shot) \| 86.58 \|
	\| MMLU (5-shot) \| 64.93\|
	\| TruthfulQA (0-shot) \| 60.11 \|
	\| Winogrande (5-shot) \| 81.29 \|
	\| GSM8K (5-shot) \| 72.1 \|


	# Acknowlegement
	- [mergekit](https://github.com/cg123/mergekit)
	- [DARE](https://github.com/yule-BUAA/MergeLM/blob/main/README.md)
	- [SLERP](https://github.com/Digitous/LLM-SLERP-Merge)
	- [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness)
	# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
	Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_janhq__supermario-slerp)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|72.32\|
	\|AI2 Reasoning Challenge (25-Shot)\|68.94\|
	\|HellaSwag (10-Shot) \|86.58\|
	\|MMLU (5-Shot) \|64.93\|
	\|TruthfulQA (0-shot) \|60.11\|
	\|Winogrande (5-shot) \|81.29\|
	\|GSM8k (5-shot) \|72.10\|