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thinkwee/NOVER1-Qwen3-4B is a 4-billion parameter large language model fine-tuned from Qwen3-4B-Instruct-2507, designed for powerful general reasoning across a wide range of text-to-text tasks by leveraging NOVER (NO-VERifier Reinforcement Learning), a verifier-free reinforcement learning method that optimizes reasoning with a perplexity-based proxy reward instead of traditional rule-based verifiers or reward models. Trained with LoRA finetuning on a modified NOVEReason_5k_reasoning dataset with custom tags, NOVER1-Qwen3-4B excels at freeform text answers to complex reasoning problems, offering enhanced performance in logical inference, instruction following, and other challenging benchmarks within the Qwen3 multilingual, hybrid-thinking architecture.
| File Name | Quant Type | File Size |
|---|---|---|
| NOVER1-Qwen3-4B.BF16.gguf | BF16 | 8.05 GB |
| NOVER1-Qwen3-4B.F16.gguf | F16 | 8.05 GB |
| NOVER1-Qwen3-4B.F32.gguf | F32 | 16.1 GB |
| NOVER1-Qwen3-4B.Q2_K.gguf | Q2_K | 1.67 GB |
| NOVER1-Qwen3-4B.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| NOVER1-Qwen3-4B.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| NOVER1-Qwen3-4B.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| NOVER1-Qwen3-4B.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| NOVER1-Qwen3-4B.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| NOVER1-Qwen3-4B.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| NOVER1-Qwen3-4B.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| NOVER1-Qwen3-4B.Q6_K.gguf | Q6_K | 3.31 GB |
| NOVER1-Qwen3-4B.Q8_0.gguf | Q8_0 | 4.28 GB |
