Seraph-7B / README.md

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	---
	license: cc-by-nc-4.0
	model-index:
	- name: Seraph-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: 67.83
	name: normalized accuracy
	source:
	url: >-
	https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-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: 86.22
	name: normalized accuracy
	source:
	url: >-
	https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-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: 65.07
	name: accuracy
	source:
	url: >-
	https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-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: 59.49
	source:
	url: >-
	https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-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: 80.66
	name: accuracy
	source:
	url: >-
	https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-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: 71.87
	name: accuracy
	source:
	url: >-
	https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Seraph-7B
	name: Open LLM Leaderboard
	tags:
	- merge
	---

	![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/ddzjZ1irvtLcDRCWei9vQ.png)

	# Seraph-7B

	This is the model for Seraph-7B. I used [mergekit](https://github.com/cg123/mergekit) to merge models.

	# Prompt Templates

	You can use these prompt templates, but I recommend using ChatML.

	### ChatML:

	```
	<\|im_start\|>system
	{system}<\|im_end\|>
	<\|im_start\|>user
	{user}<\|im_end\|>
	<\|im_start\|>assistant
	{asistant}<\|im_end\|>
	```

	### System, User, Asistant Alpaca Style:

	```
	### System:
	{system}
	### User:
	{user}
	### Assistant:
	```

	# Yaml Config

	```yaml
	slices:
	- sources:
	- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
	layer_range: [0, 32]
	- model: Q-bert/MetaMath-Cybertron-Starling
	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 # fallback for rest of tensors
	dtype: bfloat16
	```

	# Quantizationed versions

	Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke).

	##### GPTQ

	- [TheBloke/Seraph-7B-GPTQ](https://huggingface.co/TheBloke/Seraph-7B-GPTQ)

	##### GGUF

	- [TheBloke/Seraph-7B-GGUF](https://huggingface.co/TheBloke/Seraph-7B-GGUF)

	##### AWQ

	- [TheBloke/Seraph-7B-AWQ](https://huggingface.co/TheBloke/Seraph-7B-AWQ)


	# [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_Weyaxi__Seraph-7B)

	\| Metric \| Value \|
	\|-----------------------\|---------------------------\|
	\| Avg. \| 71.86 \|
	\| ARC (25-shot) \| 67.83 \|
	\| HellaSwag (10-shot) \| 86.22 \|
	\| MMLU (5-shot) \| 65.07\|
	\| TruthfulQA (0-shot) \| 59.49 \|
	\| Winogrande (5-shot) \| 80.66 \|
	\| GSM8K (5-shot) \| 71.87 \|

	If you would like to support me:

	[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)