Instructions to use lumierenoir/klev-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lumierenoir/klev-0.8b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download train_config.json from lumierenoir/klev-0.8b: direct link, hf CLI and curl.
- Browser
- Download file 807 Bytes
-
https://huggingface.co/lumierenoir/klev-0.8b/resolve/main/train_config.json
- Command line
-
hf download hf://lumierenoir/klev-0.8b/train_config.json
-
curl -L -o train_config.json https://huggingface.co/lumierenoir/klev-0.8b/resolve/main/train_config.json
807 Bytes
| { | |
| "dataset": "/home/feipe/Documentos/Projects/klev-runs/prep/dv7-qwen-full", | |
| "out_dir": "/home/feipe/Documentos/Projects/klev-runs/qwen35-08b", | |
| "model": "Qwen/Qwen3.5-0.8B", | |
| "max_steps": 3894, | |
| "per_device_batch_size": 1, | |
| "grad_accum": 8, | |
| "lr": 0.0001, | |
| "kl_weight": 0.3, | |
| "teacher_temperature": 1.0, | |
| "max_seq_length": 2048, | |
| "lora_r": 16, | |
| "lora_alpha": 32, | |
| "head_dim": 256, | |
| "garbage": 1, | |
| "garbage_bias": -4.0, | |
| "kl_chunk": 128, | |
| "teacher": "cache", | |
| "teacher_cache": "/home/feipe/Documentos/Projects/klev-runs/cache/dv7-qwen-full", | |
| "top_k": 32, | |
| "limit": 0, | |
| "logging_steps": 5, | |
| "save_steps": 500, | |
| "resume": "", | |
| "init_from": "", | |
| "warmup_steps": 50, | |
| "lr_scheduler_type": "linear", | |
| "seed": 0, | |
| "gc_mode": "unsloth", | |
| "no_gc": false, | |
| "dtype": "torch.float16" | |
| } |