WestLake_Noromaid_OpenHermes_neural-chatv0.1/README.md

arxiv, language, license, library_name, tags, base_model, model-index

arxiv	language	license	library_name	tags	base_model	model-index
	en	cc-by-nc-4.0	transformers	mergekit merge not-for-all-audiences	cognitivecomputations/WestLake-7B-v2-laser NeverSleep/Noromaid-7B-0.4-DPO teknium/OpenHermes-2.5-Mistral-7B mistralai/Mistral-7B-v0.1 Intel/neural-chat-7b-v3-3	name results WestLake_Noromaid_OpenHermes_neural-chatv0.1 task dataset metrics source type name text-generation Text Generation name type config split args EQ-Bench eq-bench EQ-Bench v2 num_few_shot 1 type value name acc_norm 65.56 normalized accuracy url name https://github.com/EQ-bench/EQ-Bench EQ-Bench v2.1 task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 66.72 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 85.37 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 64.67 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 51.5 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 79.72 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 65.2 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 Open LLM Leaderboard

WestLake_Noromaid_OpenHermes_neural-chatv0.1

This is a merge of pre-trained language models created using mergekit. DPO training data has been used to slightly uncensor the LLM. The model's focus is in conversational roleplay. In limited testing, I've been very happy with the result. It has been able to pick up stories where other models have failed or started to loop their responses, and it seems to pace the story well.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• cognitivecomputations/WestLake-7B-v2-laser
• NeverSleep/Noromaid-7B-0.4-DPO
• teknium/OpenHermes-2.5-Mistral-7B
• Intel/neural-chat-7b-v3-3

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: cognitivecomputations/WestLake-7B-v2-laser
    parameters:
      density: 0.55
      weight: 0.15
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      density: 0.55
      weight: 0.35
  - model: teknium/OpenHermes-2.5-Mistral-7B
    parameters:
      density: 0.55
      weight: 0.30
  - model: Intel/neural-chat-7b-v3-3
    parameters:
      density: 0.55
      weight: 0.20
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

Benchmark Testing

	MT-Bench	EQ-Bench v2.1
giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1	7.171875	65.56
	(Paper)	(Paper)

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

	Avg.	AI2 (25-Shot)	HellaSwag (10-Shot)	MMLU (5-Shot)	TruthfulQA (0-shot)	Winogrande (5-shot)	GSM8k (5-shot)
This model	68.86	66.72	85.37	64.67	51.50	79.72	65.20
cognitivecomputations/WestLake-7B-v2-laser	74.78	73.29	88.66	64.72	67.04	86.74	68.23
NeverSleep/Noromaid-7B-0.4-DPO	59.08	62.29	84.32	63.2	42.28	76.95	25.47
teknium/OpenHermes-2.5-Mistral-7B	61.52	64.93	84.18	63.64	52.24	78.06	26.08
Intel/neural-chat-7b-v3-3	69.83	66.89	85.26	63.07	63.01	79.64	61.11

DPO training data used:

• unalignment/toxic-dpo-v0.2 (Curated version)