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

language	license	library_name	tags	datasets	base_model	model-index
en	apache-2.0	trl	distilabel dpo rlaif rlhf	argilla/dpo-mix-7k	teknium/OpenHermes-2.5-Mistral-7B	name results CapybaraHermes-2.5-Mistral-7B 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 65.78 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B 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 85.45 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B 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 63.13 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B 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 56.91 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B 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 78.3 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B 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 59.29 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/CapybaraHermes-2.5-Mistral-7B Open LLM Leaderboard

CapybaraHermes-2.5-Mistral-7B

This model is the launching partner of the capybara-dpo dataset build with ⚗️ distilabel. It's a preference tuned OpenHermes-2.5-Mistral-7B.

CapybaraHermes has been preference tuned with LoRA and TRL for 3 epochs using argilla's dpo mix 7k.

To test the impact on multi-turn performance we have used MTBench. We also include the Nous Benchmark results and Mistral-7B-Instruct-v0.2 for reference as it's a strong 7B model on MTBench:

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	MTBench First Turn	MTBench Second Turn	Nous avg.	MTBench avg.
argilla/CapybaraHermes-2.5-Mistral-7B	43.8	73.35	57.07	42.44	8.24375	7.5625	54.16	7.903125
teknium/OpenHermes-2.5-Mistral-7B	42.75	72.99	52.99	40.94	8.25	7.2875	52.42	7.76875
Mistral-7B-Instruct-v0.2	38.5	71.64	66.82	42.29	7.8375	7.1	54.81	7.46875

The most interesting aspect in the context of the capybara-dpo dataset is the increased performance in MTBench Second Turn scores.

For the merge lovers, we also preference tuned Beagle14-7B with a mix of capybara-dpo and distilabel orca pairs using the same recipe as NeuralBeagle (see YALL - Yet Another LLM Leaderboard for reference):

Model	AGIEval	GPT4All	TruthfulQA	Bigbench	Average
DistilabelBeagle14-7B	45.29	76.92	71.66	48.78	60.66

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: Argilla
• Shared by [optional]: Argilla
• Model type: 7B chat model
• Language(s) (NLP): English
• License: Same as OpenHermes
• Finetuned from model [optional]: OpenHermes-2.5-Mistral-7B

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.14
AI2 Reasoning Challenge (25-Shot)	65.78
HellaSwag (10-Shot)	85.45
MMLU (5-Shot)	63.13
TruthfulQA (0-shot)	56.91
Winogrande (5-shot)	78.30
GSM8k (5-shot)	59.29