Model created for the comparison of behaviors and metrics with respect to the base model, as well as the comparison with other models that using the same base have been finetuning on other different datasets.

Bias, Risks, and Limitations

The same bias, risks and limitations from base models.

Training Details

Training Data

tatsu-lab/alpaca

Training Procedure

Training with QLoRA approach and merging with base model.

Results

Huggingface evaluation pending

Summary

Technical Specifications

Model Architecture and Objective

Models based on Mistral Architecture

Compute Infrastructure

Training on RunPod

Hardware

4 x Nvidia RTX 4090
64 vCPU 503 GB RAM

Software

Mergekit (main)
Axolotl 0.3.0

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: True
bnb_4bit_compute_dtype: bfloat16

Framework versions

PEFT 0.6.0

ignos/LeoScorpius-GreenNode-Alpaca-7B-v1

Model Card for Model ID

Model Details

Model Description

Uses