Edit model card

This is an ExLlamaV2 quantized model in 4bpw of feeltheAGI/yi-super-9B using the default calibration dataset.

Original Model card:

1702046172090179.jpg

YI-9B-Super

YI-9B-Super is an YI-9B model that has been further fine-tuned with OpenHermes-2.5 dataset.

Results on some benchmarks :

Tasks Version Filter n-shot Metric Value Stderr
truthfulqa N/A none 0 rouge1_max 47.1011 ± 0.8016
hellaswag 1 none None acc 0.5758 ± 0.0049
none None acc_norm 0.7639 ± 0.0042
gsm8k_cot 3 strict-match 8 exact_match 0.5262 ± 0.0138
flexible-extract 8 exact_match 0.6027 ± 0.0135
gsm8k 3 strict-match 5 exact_match 0.6073 ± 0.0135
flexible-extract 5 exact_match 0.6126 ± 0.0134
Groups Version Filter n-shot Metric Value Stderr
truthfulqa N/A none 0 rouge1_max 47.1011 ± 0.8016
none 0 bleu_max 21.9476 ± 0.7162
none 0 rouge2_acc 0.3293 ± 0.0165
none 0 bleu_acc 0.3635 ± 0.0168
none 0 rouge1_acc 0.3892 ± 0.0171
none 0 rougeL_acc 0.3782 ± 0.0170
none 0 bleu_diff -2.3953 ± 0.6292
none 0 rouge2_diff -4.6929 ± 0.9130
none 0 rougeL_diff -4.2677 ± 0.8034
none 0 acc 0.4040 ± 0.0113
none 0 rouge1_diff -3.8975 ± 0.7966
none 0 rougeL_max 43.7954 ± 0.8145
none 0 rouge2_max 32.3573 ± 0.9094
mmlu N/A none 0 acc 0.6726 ± 0.0037
- humanities N/A none None acc 0.6043 ± 0.0067
- other N/A none None acc 0.7306 ± 0.0077
- social_sciences N/A none None acc 0.7741 ± 0.0074
- stem N/A none None acc 0.6181 ± 0.0083
Downloads last month
6
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train mpasila/yi-super-9B-exl2-4bpw

Collection including mpasila/yi-super-9B-exl2-4bpw