PEFT
llama2
llama2-7b
code generation
code-generation
code
instruct
instruct-code
code-alpaca
alpaca-instruct
alpaca
llama7b
gpt2
Instructions to use monsterapi/llama2-7b-tiny-codes-code-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use monsterapi/llama2-7b-tiny-codes-code-generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "monsterapi/llama2-7b-tiny-codes-code-generation") - Notebooks
- Google Colab
- Kaggle
File size: 471 Bytes
ad016bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"auto_mapping": null,
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
"bias": "none",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layers_pattern": null,
"layers_to_transform": null,
"lora_alpha": 16,
"lora_dropout": 0,
"modules_to_save": null,
"peft_type": "LORA",
"r": 8,
"revision": null,
"target_modules": [
"q_proj",
"k_proj",
"v_proj",
"o_proj"
],
"task_type": "CAUSAL_LM"
} |