Downloads · 30 days
15
16% of all-time downloads
juvi21/Hermes-2.5-Yi-1.5-9B-Chat
Hermes-2.5-Yi-1.5-9B-Chat is a text generation model from juvi21. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of 01-ai/Yi-1.5-9B-Chat on the teknium/OpenHermes-2.5 dataset. I'm very happy with the results. The model now seems a lot smarter and "aware" in certain situations (first look, so I…
Downloads · 30 days
15
16% of all-time downloads
All-time downloads
95
Public
Parameters
8.8B
17.7 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors17.7 GB · 100%
From the Hugging Face model README
This model is a fine-tuned version of 01-ai/Yi-1.5-9B-Chat on the teknium/OpenHermes-2.5 dataset. I'm very happy with the results. The model now seems a lot smarter and "aware" in certain situations (first look, so I might change my opinion with more usage). It got quite an big edge on the AGIEval Benchmark for models in it's class. I plan to extend its context length to 32k with POSE.

| Benchmark | Score |
|---|---|
| ARC (Challenge) | 52.47% |
| ARC (Easy) | 81.65% |
| BoolQ | 87.22% |
| HellaSwag | 60.52% |
| OpenBookQA | 33.60% |
| PIQA | 81.12% |
| Winogrande | 72.22% |
| AGIEval | 38.46% |
| TruthfulQA | 44.22% |
| MMLU | 59.72% |
| IFEval | 47.96% |
For detailed benchmark results, including sub-categories and various metrics, please refer to the full benchmark table at the end of this README.
To use this model, you can load it using the Hugging Face Transformers library:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("juvi21/Hermes-2.5-Yi-1.5-9B-Chat")
tokenizer = AutoTokenizer.from_pretrained("juvi21/Hermes-2.5-Yi-1.5-9B-Chat")
# Generate text
input_text = "What is the question to 42?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)
generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(generated_text)
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
Knock Knock, who is there?<|im_end|>
<|im_start|>assistant
Hi there! <|im_end|>
This model is released under the Apache 2.0 license.
Special thanks to:
If you use this model in your research, consider citing. Although definetly cite NousResearch and 01-ai:
@misc{
author = {juvi21},
title = Hermes-2.5-Yi-1.5-9B-Chat},
year = {2024},
}
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| agieval | N/A | none | 0 | acc | ↑ | 0.5381 | ± | 0.0049 |
| none | 0 | acc_norm | ↑ | 0.5715 | ± | 0.0056 | ||
| - agieval_aqua_rat | 1 | none | 0 | acc | ↑ | 0.3858 | ± | 0.0306 |
| none | 0 | acc_norm | ↑ | 0.3425 | ± | 0.0298 | ||
| - agieval_gaokao_biology | 1 | none | 0 | acc | ↑ | 0.6048 | ± | 0.0338 |
| none | 0 | acc_norm | ↑ | 0.6000 | ± | 0.0339 | ||
| - agieval_gaokao_chemistry | 1 | none | 0 | acc | ↑ | 0.4879 | ± | 0.0348 |
| none | 0 | acc_norm | ↑ | 0.4106 | ± | 0.0343 | ||
| - agieval_gaokao_chinese | 1 | none | 0 | acc | ↑ | 0.5935 | ± | 0.0314 |
| none | 0 | acc_norm | ↑ | 0.5813 | ± | 0.0315 | ||
| - agieval_gaokao_english | 1 | none | 0 | acc | ↑ | 0.8235 | ± | 0.0218 |
| none | 0 | acc_norm | ↑ | 0.8431 | ± | 0.0208 | ||
| - agieval_gaokao_geography | 1 | none | 0 | acc | ↑ | 0.7085 | ± | 0.0323 |
| none | 0 | acc_norm | ↑ | 0.6985 | ± | 0.0326 | ||
| - agieval_gaokao_history | 1 | none | 0 | acc | ↑ | 0.7830 | ± | 0.0269 |
| none | 0 | acc_norm | ↑ | 0.7660 | ± | 0.0277 | ||
| - agieval_gaokao_mathcloze | 1 | none | 0 | acc | ↑ | 0.0508 | ± | 0.0203 |
| - agieval_gaokao_mathqa | 1 | none | 0 | acc | ↑ | 0.3761 | ± | 0.0259 |
| none | 0 | acc_norm | ↑ | 0.3590 | ± | 0.0256 | ||
| - agieval_gaokao_physics | 1 | none | 0 | acc | ↑ | 0.4950 | ± | 0.0354 |
| none | 0 | acc_norm | ↑ | 0.4700 | ± | 0.0354 | ||
| - agieval_jec_qa_ca | 1 | none | 0 | acc | ↑ | 0.6557 | ± | 0.0150 |
| none | 0 | acc_norm | ↑ | 0.5926 | ± | 0.0156 | ||
| - agieval_jec_qa_kd | 1 | none | 0 | acc | ↑ | 0.7310 | ± | 0.0140 |
| none | 0 | acc_norm | ↑ | 0.6610 | ± | 0.0150 | ||
| - agieval_logiqa_en | 1 | none | 0 | acc | ↑ | 0.5177 | ± | 0.0196 |
| none | 0 | acc_norm | ↑ | 0.4839 | ± | 0.0196 | ||
| - agieval_logiqa_zh | 1 | none | 0 | acc | ↑ | 0.4854 | ± | 0.0196 |
| none | 0 | acc_norm | ↑ | 0.4501 | ± | 0.0195 | ||
| - agieval_lsat_ar | 1 | none | 0 | acc | ↑ | 0.2913 | ± | 0.0300 |
| none | 0 | acc_norm | ↑ | 0.2696 | ± | 0.0293 | ||
| - agieval_lsat_lr | 1 | none | 0 | acc | ↑ | 0.7196 | ± | 0.0199 |
| none | 0 | acc_norm | ↑ | 0.6824 | ± | 0.0206 | ||
| - agieval_lsat_rc | 1 | none | 0 | acc | ↑ | 0.7212 | ± | 0.0274 |
| none | 0 | acc_norm | ↑ | 0.6989 | ± | 0.0280 | ||
| - agieval_math | 1 | none | 0 | acc | ↑ | 0.0910 | ± | 0.0091 |
| - agieval_sat_en | 1 | none | 0 | acc | ↑ | 0.8204 | ± | 0.0268 |
| none | 0 | acc_norm | ↑ | 0.8301 | ± | 0.0262 | ||
| - agieval_sat_en_without_passage | 1 | none | 0 | acc | ↑ | 0.5194 | ± | 0.0349 |
| none | 0 | acc_norm | ↑ | 0.4806 | ± | 0.0349 | ||
| - agieval_sat_math | 1 | none | 0 | acc | ↑ | 0.5864 | ± | 0.0333 |
| none | 0 | acc_norm | ↑ | 0.5409 | ± | 0.0337 | ||
| arc_challenge | 1 | none | 0 | acc | ↑ | 0.5648 | ± | 0.0145 |
| none | 0 | acc_norm | ↑ | 0.5879 | ± | 0.0144 | ||
| arc_easy | 1 | none | 0 | acc | ↑ | 0.8241 | ± | 0.0078 |
| none | 0 | acc_norm | ↑ | 0.8165 | ± | 0.0079 | ||
| boolq | 2 | none | 0 | acc | ↑ | 0.8624 | ± | 0.0060 |
| hellaswag | 1 | none | 0 | acc | ↑ | 0.5901 | ± | 0.0049 |
| none | 0 | acc_norm | ↑ | 0.7767 | ± | 0.0042 | ||
| ifeval | 2 | none | 0 | inst_level_loose_acc | ↑ | 0.5156 | ± | N/A |
| none | 0 | inst_level_strict_acc | ↑ | 0.4748 | ± | N/A | ||
| none | 0 | prompt_level_loose_acc | ↑ | 0.3863 | ± | 0.0210 | ||
| none | 0 | prompt_level_strict_acc | ↑ | 0.3309 | ± | 0.0202 | ||
| mmlu | N/A | none | 0 | acc | ↑ | 0.6942 | ± | 0.0037 |
| - abstract_algebra | 0 | none | 0 | acc | ↑ | 0.4900 | ± | 0.0502 |
| - anatomy | 0 | none | 0 | acc | ↑ | 0.6815 | ± | 0.0402 |
| - astronomy | 0 | none | 0 | acc | ↑ | 0.7895 | ± | 0.0332 |
| - business_ethics | 0 | none | 0 | acc | ↑ | 0.7600 | ± | 0.0429 |
| - clinical_knowledge | 0 | none | 0 | acc | ↑ | 0.7132 | ± | 0.0278 |
| - college_biology | 0 | none | 0 | acc | ↑ | 0.8056 | ± | 0.0331 |
| - college_chemistry | 0 | none | 0 | acc | ↑ | 0.5300 | ± | 0.0502 |
| - college_computer_science | 0 | none | 0 | acc | ↑ | 0.6500 | ± | 0.0479 |
| - college_mathematics | 0 | none | 0 | acc | ↑ | 0.4100 | ± | 0.0494 |
| - college_medicine | 0 | none | 0 | acc | ↑ | 0.6763 | ± | 0.0357 |
| - college_physics | 0 | none | 0 | acc | ↑ | 0.5000 | ± | 0.0498 |
| - computer_security | 0 | none | 0 | acc | ↑ | 0.8200 | ± | 0.0386 |
| - conceptual_physics | 0 | none | 0 | acc | ↑ | 0.7489 | ± | 0.0283 |
| - econometrics | 0 | none | 0 | acc | ↑ | 0.5877 | ± | 0.0463 |
| - electrical_engineering | 0 | none | 0 | acc | ↑ | 0.6759 | ± | 0.0390 |
| - elementary_mathematics | 0 | none | 0 | acc | ↑ | 0.6481 | ± | 0.0246 |
| - formal_logic | 0 | none | 0 | acc | ↑ | 0.5873 | ± | 0.0440 |
| - global_facts | 0 | none | 0 | acc | ↑ | 0.3900 | ± | 0.0490 |
| - high_school_biology | 0 | none | 0 | acc | ↑ | 0.8613 | ± | 0.0197 |
| - high_school_chemistry | 0 | none | 0 | acc | ↑ | 0.6453 | ± | 0.0337 |
| - high_school_computer_science | 0 | none | 0 | acc | ↑ | 0.8300 | ± | 0.0378 |
| - high_school_european_history | 0 | none | 0 | acc | ↑ | 0.8182 | ± | 0.0301 |
| - high_school_geography | 0 | none | 0 | acc | ↑ | 0.8485 | ± | 0.0255 |
| - high_school_government_and_politics | 0 | none | 0 | acc | ↑ | 0.8964 | ± | 0.0220 |
| - high_school_macroeconomics | 0 | none | 0 | acc | ↑ | 0.7923 | ± | 0.0206 |
| - high_school_mathematics | 0 | none | 0 | acc | ↑ | 0.4407 | ± | 0.0303 |
| - high_school_microeconomics | 0 | none | 0 | acc | ↑ | 0.8655 | ± | 0.0222 |
| - high_school_physics | 0 | none | 0 | acc | ↑ | 0.5298 | ± | 0.0408 |
| - high_school_psychology | 0 | none | 0 | acc | ↑ | 0.8679 | ± | 0.0145 |
| - high_school_statistics | 0 | none | 0 | acc | ↑ | 0.6898 | ± | 0.0315 |
| - high_school_us_history | 0 | none | 0 | acc | ↑ | 0.8873 | ± | 0.0222 |
| - high_school_world_history | 0 | none | 0 | acc | ↑ | 0.8312 | ± | 0.0244 |
| - human_aging | 0 | none | 0 | acc | ↑ | 0.7085 | ± | 0.0305 |
| - human_sexuality | 0 | none | 0 | acc | ↑ | 0.7557 | ± | 0.0377 |
| - humanities | N/A | none | 0 | acc | ↑ | 0.6323 | ± | 0.0067 |
| - international_law | 0 | none | 0 | acc | ↑ | 0.8099 | ± | 0.0358 |
| - jurisprudence | 0 | none | 0 | acc | ↑ | 0.7685 | ± | 0.0408 |
| - logical_fallacies | 0 | none | 0 | acc | ↑ | 0.7975 | ± | 0.0316 |
| - machine_learning | 0 | none | 0 | acc | ↑ | 0.5179 | ± | 0.0474 |
| - management | 0 | none | 0 | acc | ↑ | 0.8835 | ± | 0.0318 |
| - marketing | 0 | none | 0 | acc | ↑ | 0.9017 | ± | 0.0195 |
| - medical_genetics | 0 | none | 0 | acc | ↑ | 0.8000 | ± | 0.0402 |
| - miscellaneous | 0 | none | 0 | acc | ↑ | 0.8225 | ± | 0.0137 |
| - moral_disputes | 0 | none | 0 | acc | ↑ | 0.7283 | ± | 0.0239 |
| - moral_scenarios | 0 | none | 0 | acc | ↑ | 0.4860 | ± | 0.0167 |
| - nutrition | 0 | none | 0 | acc | ↑ | 0.7353 | ± | 0.0253 |
| - other | N/A | none | 0 | acc | ↑ | 0.7287 | ± | 0.0077 |
| - philosophy | 0 | none | 0 | acc | ↑ | 0.7170 | ± | 0.0256 |
| - prehistory | 0 | none | 0 | acc | ↑ | 0.7346 | ± | 0.0246 |
| - professional_accounting | 0 | none | 0 | acc | ↑ | 0.5638 | ± | 0.0296 |
| - professional_law | 0 | none | 0 | acc | ↑ | 0.5163 | ± | 0.0128 |
| - professional_medicine | 0 | none | 0 | acc | ↑ | 0.6875 | ± | 0.0282 |
| - professional_psychology | 0 | none | 0 | acc | ↑ | 0.7092 | ± | 0.0184 |
| - public_relations | 0 | none | 0 | acc | ↑ | 0.6727 | ± | 0.0449 |
| - security_studies | 0 | none | 0 | acc | ↑ | 0.7347 | ± | 0.0283 |
| - social_sciences | N/A | none | 0 | acc | ↑ | 0.7910 | ± | 0.0072 |
| - sociology | 0 | none | 0 | acc | ↑ | 0.8060 | ± | 0.0280 |
| - stem | N/A | none | 0 | acc | ↑ | 0.6581 | ± | 0.0081 |
| - us_foreign_policy | 0 | none | 0 | acc | ↑ | 0.8900 | ± | 0.0314 |
| - virology | 0 | none | 0 | acc | ↑ | 0.5301 | ± | 0.0389 |
| - world_religions | 0 | none | 0 | acc | ↑ | 0.8012 | ± | 0.0306 |
| openbookqa | 1 | none | 0 | acc | ↑ | 0.3280 | ± | 0.0210 |
| none | 0 | acc_norm | ↑ | 0.4360 | ± | 0.0222 | ||
| piqa | 1 | none | 0 | acc | ↑ | 0.7982 | ± | 0.0094 |
| none | 0 | acc_norm | ↑ | 0.8074 | ± | 0.0092 | ||
| truthfulqa | N/A | none | 0 | acc | ↑ | 0.4746 | ± | 0.0116 |
| none | 0 | bleu_acc | ↑ | 0.4700 | ± | 0.0175 | ||
| none | 0 | bleu_diff | ↑ | 0.3214 | ± | 0.6045 | ||
| none | 0 | bleu_max | ↑ | 22.5895 | ± | 0.7122 | ||
| none | 0 | rouge1_acc | ↑ | 0.4798 | ± | 0.0175 | ||
| none | 0 | rouge1_diff | ↑ | 0.0846 | ± | 0.7161 | ||
| none | 0 | rouge1_max | ↑ | 48.7180 | ± | 0.7833 | ||
| none | 0 | rouge2_acc | ↑ | 0.4149 | ± | 0.0172 | ||
| none | 0 | rouge2_diff | ↑ | -0.4656 | ± | 0.8375 | ||
| none | 0 | rouge2_max | ↑ | 34.0585 | ± | 0.8974 | ||
| none | 0 | rougeL_acc | ↑ | 0.4651 | ± | 0.0175 | ||
| none | 0 | rougeL_diff | ↑ | -0.2804 | ± | 0.7217 | ||
| none | 0 | rougeL_max | ↑ | 45.2232 | ± | 0.7971 | ||
| - truthfulqa_gen | 3 | none | 0 | bleu_acc | ↑ | 0.4700 | ± | 0.0175 |
| none | 0 | bleu_diff | ↑ | 0.3214 | ± | 0.6045 | ||
| none | 0 | bleu_max | ↑ | 22.5895 | ± | 0.7122 | ||
| none | 0 | rouge1_acc | ↑ | 0.4798 | ± | 0.0175 | ||
| none | 0 | rouge1_diff | ↑ | 0.0846 | ± | 0.7161 | ||
| none | 0 | rouge1_max | ↑ | 48.7180 | ± | 0.7833 | ||
| none | 0 | rouge2_acc | ↑ | 0.4149 | ± | 0.0172 | ||
| none | 0 | rouge2_diff | ↑ | -0.4656 | ± | 0.8375 | ||
| none | 0 | rouge2_max | ↑ | 34.0585 | ± | 0.8974 | ||
| none | 0 | rougeL_acc | ↑ | 0.4651 | ± | 0.0175 | ||
| none | 0 | rougeL_diff | ↑ | -0.2804 | ± | 0.7217 | ||
| none | 0 | rougeL_max | ↑ | 45.2232 | ± | 0.7971 | ||
| - truthfulqa_mc1 | 2 | none | 0 | acc | ↑ | 0.3905 | ± | 0.0171 |
| - truthfulqa_mc2 | 2 | none | 0 | acc | ↑ | 0.5587 | ± | 0.0156 |
| winogrande | 1 | none | 0 | acc | ↑ | 0.7388 | ± | 0.0123 |
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| agieval | N/A | none | 0 | acc | ↑ | 0.5381 | ± | 0.0049 |
| none | 0 | acc_norm | ↑ | 0.5715 | ± | 0.0056 | ||
| mmlu | N/A | none | 0 | acc | ↑ | 0.6942 | ± | 0.0037 |
| - humanities | N/A | none | 0 | acc | ↑ | 0.6323 | ± | 0.0067 |
| - other | N/A | none | 0 | acc | ↑ | 0.7287 | ± | 0.0077 |
| - social_sciences | N/A | none | 0 | acc | ↑ | 0.7910 | ± | 0.0072 |
| - stem | N/A | none | 0 | acc | ↑ | 0.6581 | ± | 0.0081 |
| truthfulqa | N/A | none | 0 | acc | ↑ | 0.4746 | ± | 0.0116 |
| none | 0 | bleu_acc | ↑ | 0.4700 | ± | 0.0175 | ||
| none | 0 | bleu_diff | ↑ | 0.3214 | ± | 0.6045 | ||
| none | 0 | bleu_max | ↑ | 22.5895 | ± | 0.7122 | ||
| none | 0 | rouge1_acc | ↑ | 0.4798 | ± | 0.0175 | ||
| none | 0 | rouge1_diff | ↑ | 0.0846 | ± | 0.7161 | ||
| none | 0 | rouge1_max | ↑ | 48.7180 | ± | 0.7833 | ||
| none | 0 | rouge2_acc | ↑ | 0.4149 | ± | 0.0172 | ||
| none | 0 | rouge2_diff | ↑ | -0.4656 | ± | 0.8375 | ||
| none | 0 | rouge2_max | ↑ | 34.0585 | ± | 0.8974 | ||
| none | 0 | rougeL_acc | ↑ | 0.4651 | ± | 0.0175 | ||
| none | 0 | rougeL_diff | ↑ | -0.2804 | ± | 0.7217 | ||
| none | 0 | rougeL_max | ↑ | 45.2232 | ± | 0.7971 |