Instructions to use ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f") - Notebooks
- Google Colab
- Kaggle
Download config.json from ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
-
https://huggingface.co/ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f/resolve/b7d23b3c74697ab3c86a957c4ed6ae2b86739b49/config.json
- Command line
-
hf download hf://ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f@b7d23b3c74697ab3c86a957c4ed6ae2b86739b49/config.json
-
curl -L -o config.json https://huggingface.co/ErrorAI/af8d874c-a4d3-45a3-8eb7-4217fa1af41f/resolve/b7d23b3c74697ab3c86a957c4ed6ae2b86739b49/config.json
736 Bytes
| { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "Qwen/Qwen2-0.5B", | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "eos_token_id": 151643, | |
| "hidden_act": "silu", | |
| "hidden_size": 896, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4864, | |
| "max_position_embeddings": 131072, | |
| "max_window_layers": 24, | |
| "model_type": "qwen2", | |
| "num_attention_heads": 14, | |
| "num_hidden_layers": 24, | |
| "num_key_value_heads": 2, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": null, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": null, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.46.0", | |
| "use_cache": false, | |
| "use_sliding_window": false, | |
| "vocab_size": 151936 | |
| } | |