Nyxene-v3-11B / README.md

Adding Evaluation Results (#1)

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	---
	license: cc-by-nc-4.0
	tags:
	- merge
	model-index:
	- name: Nyxene-v3-11B
	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: 69.62
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B
	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: 85.33
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B
	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: 64.75
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B
	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: 60.91
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B
	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: 80.19
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B
	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: 63.53
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v3-11B
	name: Open LLM Leaderboard
	---

	## Description

	This repo contains bf16 files of Nyxene-v1-11B. Just new version with some new things.

	## Model used
	- [Intel/neural-chat-7b-v3-3-Slerp](https://huggingface.co/Intel/neural-chat-7b-v3-3-Slerp)
	- [AIDC-ai-business/Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)
	- [rwitz/go-bruins-v2](https://huggingface.co/rwitz/go-bruins-v2)
	- [chargoddard/loyal-piano-m7-cdpo](https://huggingface.co/chargoddard/loyal-piano-m7-cdpo)

	## Prompt template

	Just use chatml.

	## The secret sauce

	go-bruins-loyal-piano-11B :
	```
	slices:
	- sources:
	- model: rwitz/go-bruins-v2
	layer_range: [0, 24]
	- sources:
	- model: chargoddard/loyal-piano-m7-cdpo
	layer_range: [8, 32]
	merge_method: passthrough
	dtype: bfloat16
	```

	neural-marcoroni-11B :
	```
	slices:
	- sources:
	- model: AIDC-ai-business/Marcoroni-7B-v3
	layer_range: [0, 24]
	- sources:
	- model: Intel/neural-chat-7b-v3-3-Slerp
	layer_range: [8, 32]

	merge_method: passthrough
	dtype: bfloat16
	```

	Nyxene-11B :
	```
	slices:
	- sources:
	- model: "./go-bruins-loyal-piano-11B"
	layer_range: [0, 48]
	- model: "./neural-marcoroni-11B"
	layer_range: [0, 48]
	merge_method: slerp
	base_model: "./go-bruins-loyal-piano-11B"
	parameters:
	t:
	- filter: lm_head
	value: [0.5]
	- filter: embed_tokens
	value: [0.75]
	- filter: self_attn
	value: [0.75, 0.25]
	- filter: mlp
	value: [0.25, 0.75]
	- filter: layernorm
	value: [0.5, 0.5]
	- filter: modelnorm
	value: [0.5]
	- value: 0.5 # fallback for rest of tensors
	dtype: bfloat16
	```
	I use [mergekit](https://github.com/cg123/mergekit) for all the manipulation told here.

	Thanks to the [Undi95](https://huggingface.co/Undi95) for the original [11B mistral merge](https://huggingface.co/Undi95/Mistral-11B-OmniMix) recipe.

	# [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_beberik__Nyxene-v3-11B)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|70.72\|
	\|AI2 Reasoning Challenge (25-Shot)\|69.62\|
	\|HellaSwag (10-Shot) \|85.33\|
	\|MMLU (5-Shot) \|64.75\|
	\|TruthfulQA (0-shot) \|60.91\|
	\|Winogrande (5-shot) \|80.19\|
	\|GSM8k (5-shot) \|63.53\|