metadata
library_name: transformers
tags:
- peft
license: mit
datasets:
- HuggingFaceH4/ultrachat_200k
language:
- en
LoRA adapter for kaitchup/Maixtchup-4x7b briefly fine-tuned on UltraChat.
To load and use this adapter:
model_name = "kaitchup/Maixtchup-4x7b"
#Tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)
compute_dtype = getattr(torch, "float16")
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_compute_dtype=compute_dtype,
bnb_4bit_use_double_quant=True,
)
model = AutoModelForCausalLM.from_pretrained(
model_name, quantization_config=bnb_config, device_map="auto", attn_implementation="flash_attention_2",
)
model.config.use_cache = True
model = PeftModel.from_pretrained(model, "kaitchup/Maixtchup-4x7b-QLoRA-SFT-UltraChat")