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
File size: 581 Bytes
2b0a951 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_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
}
|