Update README.md

README.md

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 This model was converted to GGUF format from [`nbeerbower/Xiaolong-Qwen3-8B`](https://huggingface.co/nbeerbower/Xiaolong-Qwen3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/nbeerbower/Xiaolong-Qwen3-8B) for more details on the model.
 
+---
+Xiaolong is a small, uncensored, reasoning-focused model finetuned using ORPO and QLoRA on top of Qwen3-8B-abliterated-TIES.
+
+Finetuning Details
+-
+- Method: ORPO
+- Epochs: 2
+- Learning Rate: 5e-6, cosine decay w/ 5% warmup
+- Batch Size: 1 x 32 (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)
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)