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qwen3-14b-redblackbench-sft-v2
spacezenmasterr/qwen3-14b-redblackbench-sft-v2
qwen3-14b-redblackbench-sft-v2 is a machine learning model from spacezenmasterr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Fine-tuned Qwen3-14B with improved hyperparameters.
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Public
Updated Dec 30, 2025
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 30, 2025
- Updated
- Dec 30, 2025
- SHA
- 4930d8f9
Base models
Model card
From the Hugging Face model README
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
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")
- License
- apache-2.0
- Languages
- en
- Created
- Dec 30, 2025
- Updated
- Dec 30, 2025