Instructions to use AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("AdnanRiaz107/CodePhi-3-mini-4k-instruct-python") model = PeftModel.from_pretrained(base_model, "AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS") - Notebooks
- Google Colab
- Kaggle
Download config.json from AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS: direct link, hf CLI and curl.
- Browser
- Download file 997 Bytes
-
https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/resolve/main/config.json
- Command line
-
hf download hf://AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/config.json
-
curl -L -o config.json https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/resolve/main/config.json
997 Bytes
| { | |
| "_name_or_path": "AdnanRiaz107/CodePhi-3-mini-4k-instruct-python", | |
| "architectures": [ | |
| "Phi3ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config", | |
| "AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM" | |
| }, | |
| "bos_token_id": 1, | |
| "embd_pdrop": 0.0, | |
| "eos_token_id": 32000, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "max_position_embeddings": 4096, | |
| "model_type": "phi3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 32, | |
| "original_max_position_embeddings": 4096, | |
| "pad_token_id": 32000, | |
| "resid_pdrop": 0.0, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 2047, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.40.2", | |
| "use_cache": false, | |
| "vocab_size": 32064 | |
| } | |