Instructions to use stringtron/mdel-aurora-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stringtron/mdel-aurora-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aurora-m/aurora-m-v0.1") model = PeftModel.from_pretrained(base_model, "stringtron/mdel-aurora-test") - Notebooks
- Google Colab
- Kaggle
File size: 694 Bytes
c27946e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"_name_or_path": "aurora-m/aurora-m-v0.1",
"activation_function": "gelu",
"architectures": [
"GPTBigCodeForCausalLM"
],
"attention_softmax_in_fp32": true,
"attn_pdrop": 0.1,
"bos_token_id": 0,
"embd_pdrop": 0.1,
"eos_token_id": 0,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "gpt_bigcode",
"multi_query": true,
"n_embd": 6144,
"n_head": 48,
"n_inner": 24576,
"n_layer": 40,
"n_positions": 8192,
"pad_token_id": 0,
"resid_pdrop": 0.1,
"scale_attention_softmax_in_fp32": true,
"scale_attn_weights": true,
"torch_dtype": "float32",
"transformers_version": "4.38.0.dev0",
"use_cache": false,
"vocab_size": 49156
}
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