Text Generation
PEFT
Safetensors
dia
carbon-footprint
energy-efficiency
sustainability
conversational
Instructions to use DIA-MVP/tinyllama-lora-cpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DIA-MVP/tinyllama-lora-cpu with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "DIA-MVP/tinyllama-lora-cpu") - Notebooks
- Google Colab
- Kaggle
File size: 398 Bytes
391c75b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"add_prefix_space": null,
"backend": "tokenizers",
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"is_local": false,
"local_files_only": false,
"model_max_length": 2048,
"pad_token": "</s>",
"padding_side": "right",
"sp_model_kwargs": {},
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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