Nyxene-v2-11B / README.md

Adding Evaluation Results (#1)

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	---
	license: cc-by-nc-4.0
	tags:
	- merge
	model-index:
	- name: Nyxene-v2-11B
	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: 67.41
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
	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: 84.54
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
	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: 65.26
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
	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: 55.62
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
	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: 79.56
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
	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: 54.66
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Nyxene-v2-11B
	name: Open LLM Leaderboard
	---

	## Description

	This repo contains bf16 files of Nyxene-v2-11B. It feels like with the new models, 1% is no longer needed as in the [previous version](https://huggingface.co/beberik/Nyxene-v1-11B). And yes, new version. Again.

	## Model used
	- [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
	- [openaccess-ai-collective/DPOpenHermes-7B](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B)
	- [fblgit/fblgit/una-cybertron-7b-v2](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16)
	- [chargoddard/loyal-piano-m7-cdpo](https://huggingface.co/chargoddard/loyal-piano-m7-cdpo)

	## Prompt template

	The best one after further testing is this one:

	```
	<\|system\|>
	Below is an instruction that describes a task. Write a response that appropriately completes the request.
	<\|user\|>
	{prompt}
	<\|assistant\|>
	```

	## The secret sauce

	loyal-piano-cybertron-11B :
	```
	slices:
	- sources:
	- model: fblgit/una-cybertron-7b-v2
	layer_range: [0, 24]
	- sources:
	- model: chargoddard/loyal-piano-m7-cdpo
	layer_range: [8, 32]
	merge_method: passthrough
	dtype: bfloat16
	```

	Starling-DPOHermes-11B :
	```
	slices:
	- sources:
	- model: berkeley-nest/Starling-LM-7B-alpha
	layer_range: [0, 24]
	- sources:
	- model: openaccess-ai-collective/DPOpenHermes-7B
	layer_range: [8, 32]
	merge_method: passthrough
	dtype: bfloat16
	```

	Nyxene-11B :
	```
	slices:
	- sources:
	- model: loyal-piano-cybertron-11B
	layer_range: [0, 48]
	- model: Starling-NeuralHermes-11B
	layer_range: [0, 48]
	merge_method: slerp
	base_model: loyal-piano-cybertron-11B
	parameters:
	t:
	- filter: lm_head
	value: [0.75]
	- 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: [0.75]
	- 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-v2-11B)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|67.84\|
	\|AI2 Reasoning Challenge (25-Shot)\|67.41\|
	\|HellaSwag (10-Shot) \|84.54\|
	\|MMLU (5-Shot) \|65.26\|
	\|TruthfulQA (0-shot) \|55.62\|
	\|Winogrande (5-shot) \|79.56\|
	\|GSM8k (5-shot) \|54.66\|