lhordking

Shadow-coder-v3-LoRA

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README

License: apache-2.0

Domains

Table
DomainExamples
Fullstack Architecture750
Algorithms (LeetCode)2,000
SQL / Database2,000
DevOps / Shell1,000
Debugging / Code Review1,500
Frontend (React/Vue)1,500
Backend + Security2,000
General Coding2,000

Training

  • Base: Shadow-Coder v2 → merged → v3 LoRA
  • GPU: AMD Radeon RX 9060 XT (ROCm 7.0)
  • Method: LoRA r=16, alpha=32
  • Steps: 8,000

Usage

python

from unsloth import FastLanguageModel
import torch
model, tokenizer = FastLanguageModel.from_pretrained(
model_name = "lhordking/Shadow-coder-v3-LoRA",
max_seq_length = 2048,
dtype = torch.bfloat16,
)
FastLanguageModel.for_inference(model)

Model provider

lhordking

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Base

Qwen/Qwen2.5-Coder-3B-Instruct

Adapter

this model

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