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README.md
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This model was converted to GGUF format from [`nbeerbower/Xiaolong-Qwen3-0.6B`](https://huggingface.co/nbeerbower/Xiaolong-Qwen3-0.6B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/nbeerbower/Xiaolong-Qwen3-0.6B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`nbeerbower/Xiaolong-Qwen3-0.6B`](https://huggingface.co/nbeerbower/Xiaolong-Qwen3-0.6B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/nbeerbower/Xiaolong-Qwen3-0.6B) for more details on the model.
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Xiaolong is a small, uncensored, reasoning-focused model finetuned using ORPO and QLoRA on top of Qwen3-0.6B-abliterated-TIES.
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Finetuning Details
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- Method: ORPO
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- Epochs: 1.3
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- Learning Rate: 5e-6, cosine decay w/ 5% warmup
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- Batch Size: 4 x 8 (32 effective)
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- Max Grad Norm: 0.3
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- LoRA Rank: 64
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- Hardware: 1x NVIDIA RTX A6000
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Dataset Composition
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~9,100 samples. 3,000 used Chain of Thought reasoning.
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- nbeerbower/GreatFirewall-DPO
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- nbeerbower/Schule-DPO
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- nbeerbower/Purpura-DPO
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- nbeerbower/Arkhaios-DPO
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- jondurbin/truthy-dpo-v0.1
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- antiven0m/physical-reasoning-dpo
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- flammenai/Date-DPO-NoAsterisks
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- flammenai/Prude-Phi3-DPO
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- Atsunori/HelpSteer2-DPO (1000 samples)
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- jondurbin/gutenberg-dpo-v0.1
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- nbeerbower/gutenberg2-dpo
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- nbeerbower/gutenberg-moderne-dpo
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Chain of Thought
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- GeneralReasoning/GeneralThought-430K (1000 samples)
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- nvidia/OpenMathReasoning (1000 samples)
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- nvidia/OpenCodeReasoning (1000 samples)
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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