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qwen3-14b-redblackbench-sft-v2 – AI Model by spacezenmasterr | AlphaNeural AI

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spacezenmasterr/
qwen3-14b-redblackbench-sft-v2

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strategic-reasoning

Arcarae/redblackbench-sft-batch-1

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RedBlackBench Qwen3-14B SFT v2

Fine-tuned Qwen3-14B with improved hyperparameters.

Training Details

Base: Qwen/Qwen3-14B
LoRA: r=128, alpha=256 (improved from r=64)
Data: 10,475 samples (deduplicated)
LR: 5e-5 (optimized)
Epochs: 3
Hardware: NVIDIA H200

Improvements over v1

LoRA rank increased: 64 → 128
Learning rate optimized: 3e-5 → 5e-5
Dataset cleaned: removed 6,146 duplicates
Training data: 5,173 → 10,475 samples

Performance

Overall reasoning: 90% (vs 80% base)
Strategic reasoning: 100% (vs 75% base)

Usage

python

from peft import PeftModel
from transformers import AutoModelForCausalLM

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B")
model = PeftModel.from_pretrained(base, "asukaredpanda/redblackbench-qwen3-14b-sft-v2")