Instructions to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "bigcode/starcoder2-3b", | |
| "architectures": [ | |
| "Starcoder2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.1, | |
| "bos_token_id": 0, | |
| "embedding_dropout": 0.1, | |
| "eos_token_id": 0, | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.018042, | |
| "intermediate_size": 12288, | |
| "max_position_embeddings": 16384, | |
| "mlp_type": "default", | |
| "model_type": "starcoder2", | |
| "norm_epsilon": 1e-05, | |
| "norm_type": "layer_norm", | |
| "num_attention_heads": 24, | |
| "num_hidden_layers": 30, | |
| "num_key_value_heads": 2, | |
| "residual_dropout": 0.1, | |
| "rope_scaling": null, | |
| "rope_theta": 999999.4420358813, | |
| "sliding_window": 4096, | |
| "transformers_version": "4.46.0", | |
| "use_bias": true, | |
| "use_cache": false, | |
| "vocab_size": 49152 | |
| } | |