

Model trained on Hindi and English data.

Try it out: https://colab.research.google.com/drive/1A_hbsq1vrCeAh3dEMvtwxxNxcNZ1BUyW?usp=sharing

For sample responose on different prompts checkout: https://github.com/manishiitg/hi-llm-eval


#### Language Hi

| Model | implicit_hate | flores | indicwikibio | hellaswag-indic | truthfulqa-hi | boolq-hi | indicheadline | indic-arc-easy | indicqa | indic-arc-challenge | indicsentiment | xlsum-hi | indicxparaphrase | mmlu_hi |  
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | 
| open-aditi-hi-v2 |  11.5021 | 43.6822 | 0.4846 | 0.2404 | 0.6934 | 0.8541 | 0.4565 | 0.4979 | 0.0795 | 0.4462 | 0.9729 | 0.4213 | 0.6838 | 0.3253 |
| OpenHermes-2.5-Mistral-7B |  0.2068 | 30.3465 | 0.3332 | 0.2485 | 0.3234 | 0.5979 | 0.1996 | 0.3523 | 0.2721 | 0.3396 | 0.9048 | 0.1774 | 0.8766 | 0.2769 |
| open-aditi-hi-v1 |  8.6105 | 40.2376 | 0.4104 | 0.0848 | 0.4230 | 0.3758 | 0.4248 | 0.3889 | 0.1306 | 0.3558 | 0.8798 | 0.4212 | 0.5939 | 0.1398 |
| Airavata |  0.0663 | 58.0555 | 0.0637 | 0.0254 | 0.2122 | 0.0373 | 0.4346 | 0.1128 | 0.1008 | 0.0836 | 0.8437 | 0.4650 | 0.3277 | 0.1336 |

#### Language En

| Model | boolq | hellaswag | mmlu | truthfulqa | xlsum | arc-easy-exact | arc-challenge |  
| --- | --- | --- | --- | --- | --- | --- | --- | 
| OpenHermes-2.5-Mistral-7B |  0.4061 | 0.7999 | 0.5991 | 0.2081 | 0.4328 | 0.8687 | 0.7790 |
| open-aditi-hi-v2 |  0.3982 | 0.4738 | 0.5544 | 0.2999 | 0.4349 | 0.8388 | 0.7235 |
| open-aditi-hi-v1 |  0.0434 | 0.3509 | 0.2597 | 0.3317 | 0.4288 | 0.7588 | 0.6271 |
| Airavata |  0.0437 | 0.0277 | 0.1165 | 0.3586 | 0.4393 | 0.2534 | 0.1630 |

Task: flores Metric: chrf 

Task: implicit_hate Metric: chrf 

Task: indicsentiment Metric: accuracy 

Task: indicxparaphrase Metric: accuracy 

Task: boolq-hi Metric: accuracy 

Task: truthfulqa-hi Metric: accuracy 

Task: indic-arc-easy Metric: accuracy 

Task: indicwikibio Metric: bleurt 

Task: xlsum-hi Metric: bleurt 

Task: indicheadline Metric: bleurt 

Task: indic-arc-challenge Metric: accuracy 

Task: mmlu_hi Metric: average_acc 

Task: indicqa Metric: accuracy 

Task: hellaswag-indic Metric: accuracy 

Task: arc-easy-exact Metric: accuracy 

Task: hellaswag Metric: accuracy 

Task: arc-challenge Metric: accuracy 

Task: mmlu Metric: average_acc 

Task: xlsum Metric: bleurt 

Task: boolq Metric: accuracy 

Task: truthfulqa Metric: accuracy 




Model evaluation on OpenLLM LeaderBoard

![image/png](https://cdn-uploads.huggingface.co/production/uploads/5dfae476da6d0311fd3d5432/ENzZwV2Z98uNlpyUz3Blp.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/5dfae476da6d0311fd3d5432/SpSiu5lzA6JKJx8ICX_zd.png)




{"language": ["hi", "en"], "license": "apache-2.0", "base_model": "teknium/OpenHermes-2.5"}
transformers safetensors mistral text-generation conversational hi en base_model:teknium/OpenHermes-2.5 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us