初始化项目，由ModelHub XC社区提供模型

Model: kreasof-ai/Liquid-RSA-Mix-GGUF
Source: Original Platform

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Liquid-RSA-Mix-GGUF.Q8_0.gguf

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README.md

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+---
+language:
+- en
+pipeline_tag: text-generation
+---
+# Under Experiment
+
+> GOALS: SOTA math reasoning for sub-400M parameter LLM
+
+- Base Model: [LiquidAI/LFM2-350M-Math](https://huggingface.co/LiquidAI/LFM2-350M-Math)
+- Dataset: [kreasof-ai/RSA-Distillation-Mix](https://huggingface.co/datasets/kreasof-ai/RSA-Distillation-Mix)
+
+## Benchmark
+
+Note: we use thinking token forcing because this model occasionally output response directly without thinking tag.
+
+Standard Decoding:
+- AIME 2025: 28.3% (+1.2% from `LiquidAI/LFM2-350M-Math`) -> Link for benchmark output: https://docs.google.com/spreadsheets/d/1Gr0AFT08tWQ8ocPK3TEwfwz1h336Pfe4TB_IQxKDt3A/
+- HMMT 2025: TBA
+- BRUMO 2025: TBA
+- CMIMC 2025: TBA
+
+Recursive Self-Aggregation:
+- AIME 2025: TBA
+- HMMT 2025: TBA
+- BRUMO 2025: TBA
+- CMIMC 2025: TBA