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affine-test-01 – AI Model by ATL-Machine | AlphaNeural AI

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ATL-Machine/
affine-test-01

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ineso22/affine-vscode

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out_affine

This model is a fine-tuned version of ineso22/affine-vscode using LoRA (Low-Rank Adaptation).

Model Details

Base Model: ineso22/affine-vscode
Training Method: LoRA (Low-Rank Adaptation)
LoRA Rank: 16
LoRA Alpha: 32
LoRA Dropout: 0.05
Quantization: 4-bit QLoRA
Precision: bfloat16

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model = AutoModelForCausalLM.from_pretrained(
    "out_affine/merged_model",
    torch_dtype=torch.bfloat16,
    trust_remote_code=True,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("out_affine/merged_model")

# Your inference code here