haLLAwa3 / README.md

Adding Evaluation Results (#1)

5316ff2 verified 3 months ago

No virus

5.26 kB

	---
	license: apache-2.0
	tags:
	- merge
	- mergekit
	- lazymergekit
	- openchat/openchat-3.5-0106
	- machinists/Mistral-7B-SQL
	model-index:
	- name: haLLAwa3
	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: 67.83
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLAwa3
	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: 87.02
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLAwa3
	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: 64.23
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLAwa3
	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: 63.71
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLAwa3
	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: 80.51
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLAwa3
	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: 64.75
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLAwa3
	name: Open LLM Leaderboard
	---

	![image/png](https://cdn-uploads.huggingface.co/production/uploads/65843bdfd9ea8286deed2619/Q_Fp9_F1ZJb9J7xuMnCjh.png)

	# Hallawa3: The Fusion of Expertise and Precision for 7B Models"
	Unveiling 'Hallawa', an AI marvel that embodies the perfect blend of expert knowledge and cutting-edge technology, tailored for 7B models where direct answers are paramount. This AI powerhouse excels in delivering precise responses, ideal for use cases that demand accuracy and immediacy.
	Excelling in document understanding and prompts in its size.
	With 'Hallawa', you tap into a repository of intelligence that's been acknowledged by over 1400 downloads on the OpenLLM leaderboard, boasting a remarkable score of 71. This model isn't just about quantity but quality, setting new benchmarks in the realm of language models.

	Whether you're looking to enhance customer service, drive research, or accelerate decision-making, 'Hallawa' stands as your go-to solution, engineered to exceed expectations in scenarios where only the most accurate and immediate answers will suffice. Join the ranks of those leveraging 'Hallawa' for their most critical applications and witness the transformation it brings to your operations.
	haLLAwa3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
	* [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
	* [machinists/Mistral-7B-SQL](https://huggingface.co/machinists/Mistral-7B-SQL)

	## 🧩 Configuration

	```yaml
	slices:
	- sources:
	- model: openchat/openchat-3.5-0106
	layer_range: [0, 32]
	- model: machinists/Mistral-7B-SQL
	layer_range: [0, 32]
	merge_method: slerp
	base_model: openchat/openchat-3.5-0106
	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
	```
	# [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_AbacusResearch__haLLAwa3)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|71.34\|
	\|AI2 Reasoning Challenge (25-Shot)\|67.83\|
	\|HellaSwag (10-Shot) \|87.02\|
	\|MMLU (5-Shot) \|64.23\|
	\|TruthfulQA (0-shot) \|63.71\|
	\|Winogrande (5-shot) \|80.51\|
	\|GSM8k (5-shot) \|64.75\|