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Model: prithivMLmods/VibeThinker-3B-GGUF Source: Original Platform
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---
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license: mit
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base_model:
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- WeiboAI/VibeThinker-3B
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language:
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- en
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- math
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- code
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- reasoning
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- gpqa
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- instruction-following
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- text-generation-inference
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- llama-cpp
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---
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# **VibeThinker-3B-GGUF**
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> **[VibeThinker-3B](https://huggingface.co/WeiboAI/VibeThinker-3B)** is a 3-billion-parameter reasoning-focused language model developed by WeiboAI, built on top of Qwen2.5-Coder-3B and trained using the Spectrum-to-Signal Principle (SSP) post-training pipeline, which combines curriculum-based two-stage SFT, multi-domain reinforcement learning via MaxEnt-Guided Policy Optimization (MGPO), offline self-distillation, and instruct RL to systematically develop strong verifiable reasoning capabilities across mathematics, coding, and STEM tasks. Motivated by the Parametric Compression-Coverage Hypothesis — which posits that verifiable reasoning is a highly compressible, parameter-dense capability that compact models can carry near-frontier performance in — VibeThinker-3B achieves remarkable results for its size, scoring 76.4 on IMO-AnswerBench (improving to 80.6 with Claim-Level Reliability Assessment test-time scaling), competing with models like DeepSeek V3.2 (671B) and Kimi K2.5 (1T), while also achieving a 96.1% acceptance rate (123/128 submissions) on recent unseen LeetCode weekly and biweekly contests from April–May 2026, and reaching the performance range of top-tier frontier reasoning systems including Qwen3.6 Plus and Gemini 3 Pro on verifiable reasoning benchmarks. Inference is recommended via vLLM or SGLang with temperature 1.0, top_p 0.95, and supports up to 102K output tokens, making it best suited for competitive mathematics, coding contests, and STEM reasoning tasks where clear verification signals exist, while larger general-purpose models remain preferable for broad open-domain knowledge tasks.
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## Model Files
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File Name | Quant Type | File Size | File Link |
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|-----------|------------|-----------|-----------|
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| VibeThinker-3B.BF16.gguf | BF16 | 6.18 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.BF16.gguf) |
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| VibeThinker-3B.F16.gguf | F16 | 6.18 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.F16.gguf) |
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| VibeThinker-3B.F32.gguf | F32 | 12.3 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.F32.gguf) |
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| VibeThinker-3B.Q2_K.gguf | Q2_K | 1.27 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q2_K.gguf) |
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| VibeThinker-3B.Q3_K_L.gguf | Q3_K_L | 1.71 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q3_K_L.gguf) |
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| VibeThinker-3B.Q3_K_M.gguf | Q3_K_M | 1.59 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q3_K_M.gguf) |
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| VibeThinker-3B.Q3_K_S.gguf | Q3_K_S | 1.45 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q3_K_S.gguf) |
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| VibeThinker-3B.Q4_0.gguf | Q4_0 | 1.82 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q4_0.gguf) |
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| VibeThinker-3B.Q4_K_M.gguf | Q4_K_M | 1.93 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q4_K_M.gguf) |
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| VibeThinker-3B.Q4_K_S.gguf | Q4_K_S | 1.83 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q4_K_S.gguf) |
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| VibeThinker-3B.Q5_0.gguf | Q5_0 | 2.17 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q5_0.gguf) |
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| VibeThinker-3B.Q5_K_M.gguf | Q5_K_M | 2.22 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q5_K_M.gguf) |
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| VibeThinker-3B.Q5_K_S.gguf | Q5_K_S | 2.17 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q5_K_S.gguf) |
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| VibeThinker-3B.Q6_K.gguf | Q6_K | 2.54 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q6_K.gguf) |
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| VibeThinker-3B.Q8_0.gguf | Q8_0 | 3.29 GB | [Download](https://huggingface.co/prithivMLmods/VibeThinker-3B-GGUF/blob/main/VibeThinker-3B.Q8_0.gguf) |
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## llama.cpp
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LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp
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version https://git-lfs.github.com/spec/v1
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oid sha256:79805a9e6f748890d82f3865165a31b60584149785ac01d3ae84bffc840e829f
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size 6178316992
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size 6178316992
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oid sha256:dfc44afd2ff26937ae2e953691de648c2f6c3ceddc0b82939c3d5d3c2c4848f3
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size 12349711040
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size 1274755776
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size 1707391680
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oid sha256:1897d2373d7b040a95d8dd068942e1ea9c27c012e63bb73de4a1658b4790dc50
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size 1590475456
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size 1454357184
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size 1822849728
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oid sha256:9782b918cc220fb81d59e21be3e45c3ae027e5d86fb56ce7c6d537a347c80d79
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size 1929902784
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size 1834384064
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size 2169666240
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oid sha256:bab12e99c894e26a1d780b578068ffa068fd78dc12d289462b60ef96f94ae4c3
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size 2224814784
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size 2169666240
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oid sha256:0895a93b7c81d67a9d3a3cff535fa0a03c6e114f6de2a864949559edc6957f80
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size 2538158784
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oid sha256:8e80bce863fedd7df3dfa05c2f6d052f3e9dface2139bd4b4239baedea64520e
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size 3285476032
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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