Instructions to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2") - Notebooks
- Google Colab
- Kaggle
Download config.json from deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2: direct link, hf CLI and curl.
- Browser
- Download file 581 Bytes
-
https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2/resolve/main/config.json
- Command line
-
hf download hf://deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2/config.json
-
curl -L -o config.json https://huggingface.co/deepaknh/falcon7b-FineTuningQLORA_IncrementTrainingVersion2/resolve/main/config.json
581 Bytes
| { | |
| "_name_or_path": "tiiuae/falcon-7b", | |
| "alibi": false, | |
| "apply_residual_connection_post_layernorm": false, | |
| "architectures": [ | |
| "FalconForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bias": false, | |
| "bos_token_id": 11, | |
| "eos_token_id": 11, | |
| "hidden_dropout": 0.0, | |
| "hidden_size": 4544, | |
| "initializer_range": 0.02, | |
| "layer_norm_epsilon": 1e-05, | |
| "model_type": "falcon", | |
| "multi_query": true, | |
| "n_head": 71, | |
| "n_layer": 32, | |
| "parallel_attn": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.30.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 65024 | |
| } | |