Instructions to use 0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM-135M-Instruct") model = PeftModel.from_pretrained(base_model, "0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf") - Notebooks
- Google Colab
- Kaggle
Download config.json from 0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf: direct link, hf CLI and curl.
- Browser
- Download file 785 Bytes
-
https://huggingface.co/0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf/resolve/main/config.json
- Command line
-
hf download hf://0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf/config.json
-
curl -L -o config.json https://huggingface.co/0x1202/e41c2262-6ee1-457b-a517-b45596d9afaf/resolve/main/config.json
785 Bytes
| { | |
| "_attn_implementation_autoset": true, | |
| "_name_or_path": "unsloth/SmolLM-135M-Instruct", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 576, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1536, | |
| "max_position_embeddings": 2048, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 9, | |
| "num_hidden_layers": 30, | |
| "num_key_value_heads": 3, | |
| "pad_token_id": 2, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": null, | |
| "rope_theta": 10000.0, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.46.0", | |
| "use_cache": false, | |
| "vocab_size": 49152 | |
| } | |