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	---
	license: cc-by-nc-4.0
	tags:
	- merge
	- mergekit
	base_model:
	- saishf/West-Hermes-7B
	- seyf1elislam/KunaiBeagle-Hermes-7b
	model-index:
	- name: WestKunai-Hermes-7b
	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: 71.16
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
	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: 87.76
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
	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: 64.77
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
	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: 65.25
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
	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: 83.03
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
	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: 69.07
	name: accuracy
	source:
	url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=seyf1elislam/WestKunai-Hermes-7b
	name: Open LLM Leaderboard
	---

	# WestKunai-Hermes-7b

	This is a merge of pre-trained language models created using mergekit.


	# Quantized versions :
	- [GGUF](https://huggingface.co/seyf1elislam/WestKunai-Hermes-7b-GGUF)


	## Merge Details
	### Merge Method

	This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.


	### Models Merged
	The following models were included in the merge:
	* [saishf/West-Hermes-7B](https://huggingface.co/saishf/West-Hermes-7B)
	* [seyf1elislam/KunaiBeagle-Hermes-7b](https://huggingface.co/seyf1elislam/KunaiBeagle-Hermes-7b)

	## Configuration
	The following YAML configuration was used to produce this model:
	```yaml
	models:
	- model: mistralai/Mistral-7B-v0.1
	# No parameters necessary for base model
	- model: saishf/West-Hermes-7B
	parameters:
	weight: 0.55
	density: 0.65
	- model: seyf1elislam/KunaiBeagle-Hermes-7b
	parameters:
	weight: 0.55
	density: 0.65
	merge_method: dare_ties
	base_model: mistralai/Mistral-7B-v0.1
	parameters:
	int8_mask: true
	dtype: bfloat16
	```
	## Usage Example

	```python
	!pip install -qU transformers accelerate

	from transformers import AutoTokenizer
	import transformers
	import torch

	model = "seyf1elislam/WestKunai-Hermes-7b"
	messages = [{"role": "user", "content": "What is a large language model?"}]

	tokenizer = AutoTokenizer.from_pretrained(model)
	prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
	pipeline = transformers.pipeline(
	"text-generation",
	model=model,
	torch_dtype=torch.float16,
	device_map="auto",
	)

	outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
	print(outputs[0]["generated_text"])
	```
	# [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_seyf1elislam__WestKunai-Hermes-7b)

	\| Metric \|Value\|
	\|---------------------------------\|----:\|
	\|Avg. \|73.51\|
	\|AI2 Reasoning Challenge (25-Shot)\|71.16\|
	\|HellaSwag (10-Shot) \|87.76\|
	\|MMLU (5-Shot) \|64.77\|
	\|TruthfulQA (0-shot) \|65.25\|
	\|Winogrande (5-shot) \|83.03\|
	\|GSM8k (5-shot) \|69.07\|