--- license: mit base_model: - WeiboAI/VibeThinker-3B pipeline_tag: text-generation tags: - math - code - reasoning - gpqa - instruction-following - gguf --- # constructai/VibeThinker-3B-GGUF This is a quantized version of the original **VibeThinker-3B** , converted to the **GGUF** format for efficient CPU/GPU inference with `llama.cpp`, `Ollama`, or any GGUF‑compatible runner. --- ## Original Model - **Author(s):** [WeiboAI](https://huggingface.co/WeiboAI) - **Source:** [VibeThinker-3B](https://huggingface.co/WeiboAI/VibeThinker-3B) - **Original License:** MIT --- ## Available Quantizations Choose the quantization that fits your needs: | Quantization | File Size | |--------------|-----------| | `UD-IQ1_S` | 791 MB | | `UD-IQ1_M` | 850 MB | | `UD-IQ2_XXS` | 948 MB | | `Q2_K` | 1.27 GB | | `UD-IQ2_M` | 1.14 GB | | `UD-Q2_K_XL` | 1.27 GB | | `UD-IQ3_XXS` | 1.28 GB | | `Q3_K_S` | 1.45 GB | | `UD-IQ3_S` | 1.46 GB | | `Q3_K_M` | 1.59 GB | | `UD-Q3_K_M` | 1.59 GB | | `UD-Q3_K_XL` | 1.71 GB | | `UD-IQ4_XS` | 1.74 GB | | `Q4_K_S` | 1.83 GB | | `UD-IQ4_NL` | 1.83 GB | | `Q4_K_M` | 1.93 GB | | `UD-Q4_K_XL` | 1.93 GB | | `Q5_K_S` | 2.17 GB | | `UD-Q5_K_S` | 2.17 GB | | `Q5_K_M` | 2.22 GB | | `UD-Q5_K_M` | 2.22 GB | | `UD-Q5_K_XL` | 2.22 GB | | `Q6_K` | 2.54 GB | | `UD-Q6_K` | 2.54 GB | | `UD-Q6_K_XL` | 2.54 GB | | `Q8_0` | 3.29 GB | | `UD-Q8_K_XL` | 3.29 GB | | `F16` | 6.18 GB | For a **3B‑parameter** model, even the larger files are quite manageable. Here’s what I recommend: **F16** (6.18 GB) or **Q8_0** (3.29 GB). *The other quants are also usable!* --- ## Usage ### With `ollama` ```bash ollama run hf.co/constructai/VibeThinker-3B-GGUF:F16 ``` --- ### With `llama.cpp` ```bash llama-server -hf constructai/VibeThinker-3B-GGUF:VibeThinker-3B-GGUF-F16.gguf ``` # or ```bash llama-cli -hf constructai/VibeThinker-3B-GGUF:VibeThinker-3B-GGUF-F16.gguf ``` --- ### With `LM Studio` ```bash lms get constructai/VibeThinker-3B-GGUF@F16 ``` ---