Instructions to use Jnx03/kanitakorn-260614-mnemo2e-mnemo2e-best180-v17format-step40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jnx03/kanitakorn-260614-mnemo2e-mnemo2e-best180-v17format-step40 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "Jnx03/kanitakorn-260614-mnemo2e-mnemo2e-best180-v17format-step40") - Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| base_model: mistralai/Mistral-Nemo-Instruct-2407 | |
| license: apache-2.0 | |
| tags: | |
| - thai | |
| - kanitakorn | |
| - single-model | |
| - greedy-eval | |
| language: | |
| - th | |
| - en | |
| # Jnx03/kanitakorn-260614-mnemo2e-mnemo2e-best180-v17format-step40 | |
| Kanitakorn 2026-06-13 campaign artifact. | |
| - Base: `mistralai/Mistral-Nemo-Instruct-2407` | |
| - Version: `mnemo2e-best180-v17format-step40` | |
| - Method: `sft-lora` | |
| - Final-claim policy: one model, no BoN, no self-consistency, no ensemble, no model routing. | |
| - Date: 2026-06-13 | |
| ## Scores | |
| | Benchmark | Score | Target | Status | | |
| |---|---:|---:|---| | |
| | aime24_th | pending | >15.0 | pending | | |
| | aime24 | pending | >25.0 | pending | | |
| | math500_th | pending | >56.0 | pending | | |
| | math500 | pending | >82.0 | pending | | |
| | livecodebench_th | pending | >35.0 | pending | | |
| | livecodebench | pending | >60.0 | pending | | |
| | openthaieval | pending | >80.0 | pending | | |
| | hotpotqa_th_en | pending | >46.0 | pending | | |
| | instruction_following_th_en | pending | >57.0 | pending | | |
| | mt_bench_th_en | pending | >85.0 | pending | | |
| | thaiexam | pending | >70.0 | pending | | |
| | ifeval_th | pending | >82.0 | pending | | |
| ## Notes | |
| Automatic checkpoint publish from runs/nonqwen-mistralnemo-v2e-continue-best180-v17format-r32-lr5e7-80/checkpoint-40. Single-model artifact; no BoN/self-consistency. | |