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affine-test-02
ATL-Machine/affine-test-02
affine-test-02 is a machine learning model from ATL-Machine. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
This model is a fine-tuned version of ineso22/affine-vscode using LoRA (Low-Rank Adaptation).
Access
Public
Updated Jan 24, 2026
Parameters
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32.2 GB on disk
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Dec 25, 2025
- Updated
- Jan 24, 2026
- SHA
- 6ad37f2e
Base models
Model card
From the Hugging Face model README
out_lgc
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
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
"out_lgc/merged_model",
torch_dtype=torch.bfloat16,
trust_remote_code=True,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("out_lgc/merged_model")
# Your inference code here
- Library
- peft
- Type
- qwen3
- License
- apache-2.0
- Created
- Dec 25, 2025
- Updated
- Jan 24, 2026