Instructions to use agilan1102/sql_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use agilan1102/sql_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-3b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "agilan1102/sql_model") - Notebooks
- Google Colab
- Kaggle
File size: 312 Bytes
daad19b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_type": "llama",
"hidden_size": 3200,
"num_attention_heads": 32,
"num_hidden_layers": 32,
"vocab_size": 32000,
"intermediate_size": 8640,
"max_position_embeddings": 2048,
"initializer_range": 0.02,
"layer_norm_eps": 1e-5,
"bos_token_id": 1,
"eos_token_id": 2,
"pad_token_id": 0
}
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