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This model is a fine-tuned model based on the "TinyPixel/Llama-2-7B-bf16-sharded" model and "timdettmers/openassistant-guanaco" dataset

Home Page: https://huggingface.co/arhamk/llama2-qlora-sft

License: Apache License 2.0

bitsandbytes fine-tuning language-model llama2 llm nlp peft qlora quantization transformers

llama2-qlora-sft's Introduction

library_name license tags datasets
peft
apache-2.0
llama2
quantization
nlp
transformers
language-model
bitsandbytes
fine-tuned
causal-lm
timdettmers/openassistant-guanaco

Overview

This model is a fine-tuned model based on the "TinyPixel/Llama-2-7B-bf16-sharded" model and "timdettmers/openassistant-guanaco" dataset. It is optimized for causal language modeling tasks with specific quantization configurations. The model is trained using the PEFT framework and leverages the bitsandbytes quantization method.

Training Procedure

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: False
  • bnb_4bit_compute_dtype: float16

Framework Versions

The model was trained using PEFT version 0.6.0.dev0.

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