Text Generation
PEFT
Safetensors
scientific-ai
autonomous-agents
colony-trained
qlora
dpo
kuramoto
solitons
complexity-science
conversational
Instructions to use Ninitje/InvariantMind-v1-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ninitje/InvariantMind-v1-14B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-14B") model = PeftModel.from_pretrained(base_model, "Ninitje/InvariantMind-v1-14B") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-4/trainer_state.json from Ninitje/InvariantMind-v1-14B: direct link, hf CLI and curl.
- Browser
- Download file 763 Bytes
-
https://huggingface.co/Ninitje/InvariantMind-v1-14B/resolve/main/checkpoint-4/trainer_state.json
- Command line
-
hf download hf://Ninitje/InvariantMind-v1-14B/checkpoint-4/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Ninitje/InvariantMind-v1-14B/resolve/main/checkpoint-4/trainer_state.json
763 Bytes
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 500, | |
| "global_step": 4, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [], | |
| "logging_steps": 5, | |
| "max_steps": 8, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2015865825263616.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |