PEFT
Safetensors
Kalenjin
English
Swahili
lora
qwen2
kalenjin
continued-pretraining
low-resource-language
Instructions to use Sugutt/Kalenjin-qwen2.5-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sugutt/Kalenjin-qwen2.5-7B with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "model_name": "Qwen/Qwen2.5-7B", | |
| "train_file": "/data/processed/kalenjin_cpt_train.jsonl", | |
| "eval_file": "/data/processed/kalenjin_cpt_eval.jsonl", | |
| "output_dir": "/outputs/kalenjin-cpt", | |
| "max_seq_length": 2048, | |
| "epochs": 2.0, | |
| "learning_rate": 2e-05, | |
| "batch_size": 2, | |
| "grad_accum": 8, | |
| "lora_r": 32, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "save_steps": 100, | |
| "logging_steps": 10, | |
| "max_steps": -1, | |
| "warmup_ratio": 0.03, | |
| "weight_decay": 0.01, | |
| "lr_scheduler_type": "cosine", | |
| "optimizer": "paged_adamw_8bit", | |
| "run_name": "kalenjin-cpt", | |
| "wandb_enabled": true, | |
| "wandb_project": "kalenjin-llm", | |
| "wandb_entity": "", | |
| "wandb_tags": "cpt,kalenjin,modal", | |
| "wandb_mode": "online" | |
| } |