Instructions to use worldboss/falcon-7b-worldboss-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use worldboss/falcon-7b-worldboss-ft 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, "worldboss/falcon-7b-worldboss-ft") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": ["LLaMAForCausalLM"], | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 8192, | |
| "intermediate_size": 22016, | |
| "initializer_range": 0.02, | |
| "max_sequence_length": 2048, | |
| "model_type": "llama", | |
| "num_attention_heads": 64, | |
| "num_hidden_layers": 80, | |
| "pad_token_id": 0, | |
| "rms_norm_eps": 1e-05, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.28.0.dev0", | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } |