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Xiaolong-Qwen3-4B – AI Model by nbeerbower | AlphaNeural AI

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nbeerbower/
Xiaolong-Qwen3-4B

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text-generation

nbeerbower/GreatFirewall-DPO

nbeerbower/Schule-DPO

nbeerbower/Purpura-DPO

nbeerbower/Arkhaios-DPO

jondurbin/truthy-dpo-v0.1

antiven0m/physical-reasoning-dpo

flammenai/Date-DPO-NoAsterisks

flammenai/Prude-Phi3-DPO

Atsunori/HelpSteer2-DPO

jondurbin/gutenberg-dpo-v0.1

nbeerbower/gutenberg2-dpo

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Xiaolong-Qwen3-4B

Xiaolong is a small, uncensored, reasoning-focused model finetuned using ORPO and QLoRA on top of Qwen3-4B-abliterated-TIES.

Finetuning Details

Method: ORPO
Epochs: 2
Learning Rate: 5e-6, cosine decay w/ 5% warmup
Batch Size: 2 x 16 (32 effective)
Max Grad Norm: 0.3
LoRA Rank: 64
Hardware: 1x NVIDIA RTX A6000

Dataset Composition

~9,100 samples. 3,000 used Chain of Thought reasoning.

nbeerbower/GreatFirewall-DPO
nbeerbower/Schule-DPO
nbeerbower/Purpura-DPO
nbeerbower/Arkhaios-DPO
jondurbin/truthy-dpo-v0.1
antiven0m/physical-reasoning-dpo
flammenai/Date-DPO-NoAsterisks
flammenai/Prude-Phi3-DPO
Atsunori/HelpSteer2-DPO (1000 samples)
jondurbin/gutenberg-dpo-v0.1
nbeerbower/gutenberg2-dpo
nbeerbower/gutenberg-moderne-dpo

Chain of Thought

GeneralReasoning/GeneralThought-430K (1000 samples)
nvidia/OpenMathReasoning (1000 samples)
nvidia/OpenCodeReasoning (1000 samples)