--- base_model: 01-ai/Yi-Coder-1.5B inference: false library_name: gguf license: apache-2.0 pipeline_tag: text-generation quantized_by: legraphista tags: - quantized - GGUF - quantization - imat - imatrix - static - 16bit - 8bit - 6bit - 5bit - 4bit - 3bit - 2bit - 1bit --- # Yi-Coder-1.5B-IMat-GGUF _Llama.cpp imatrix quantization of 01-ai/Yi-Coder-1.5B_ Original Model: [01-ai/Yi-Coder-1.5B](https://huggingface.co/01-ai/Yi-Coder-1.5B) Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp [b3669](https://github.com/ggerganov/llama.cpp/releases/tag/b3669) IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) - [Files](#files) - [IMatrix](#imatrix) - [Common Quants](#common-quants) - [All Quants](#all-quants) - [Downloading using huggingface-cli](#downloading-using-huggingface-cli) - [Inference](#inference) - [Llama.cpp](#llama-cpp) - [FAQ](#faq) - [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere) - [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf) --- ## Files ### IMatrix Status: ✅ Available Link: [here](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/imatrix.dat) ### Common Quants | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | | -------- | ---------- | --------- | ------ | ------------ | -------- | | [Yi-Coder-1.5B.Q8_0.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q8_0.gguf) | Q8_0 | 1.57GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q6_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q6_K.gguf) | Q6_K | 1.28GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q4_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q4_K.gguf) | Q4_K | 963.67MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q3_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q3_K.gguf) | Q3_K | 785.72MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q2_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q2_K.gguf) | Q2_K | 634.70MB | ✅ Available | 🟢 IMatrix | 📦 No ### All Quants | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | | -------- | ---------- | --------- | ------ | ------------ | -------- | | [Yi-Coder-1.5B.BF16.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.BF16.gguf) | BF16 | 2.95GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.FP16.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.FP16.gguf) | F16 | 2.95GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q8_0.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q8_0.gguf) | Q8_0 | 1.57GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q6_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q6_K.gguf) | Q6_K | 1.28GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q5_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q5_K.gguf) | Q5_K | 1.10GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q5_K_S.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q5_K_S.gguf) | Q5_K_S | 1.05GB | ✅ Available | ⚪ Static | 📦 No | [Yi-Coder-1.5B.Q4_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q4_K.gguf) | Q4_K | 963.67MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q4_K_S.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q4_K_S.gguf) | Q4_K_S | 904.18MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ4_NL.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ4_NL.gguf) | IQ4_NL | 866.16MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ4_XS.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ4_XS.gguf) | IQ4_XS | 832.57MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q3_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q3_K.gguf) | Q3_K | 785.72MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q3_K_L.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q3_K_L.gguf) | Q3_K_L | 826.04MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q3_K_S.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q3_K_S.gguf) | Q3_K_S | 723.41MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ3_M.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ3_M.gguf) | IQ3_M | 754.38MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ3_S.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ3_S.gguf) | IQ3_S | 723.41MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ3_XS.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ3_XS.gguf) | IQ3_XS | 694.95MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ3_XXS.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ3_XXS.gguf) | IQ3_XXS | 653.90MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q2_K.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q2_K.gguf) | Q2_K | 634.70MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.Q2_K_S.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.Q2_K_S.gguf) | Q2_K_S | 618.48MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ2_M.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ2_M.gguf) | IQ2_M | 624.80MB | ✅ Available | 🟢 IMatrix | 📦 No | [Yi-Coder-1.5B.IQ2_S.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ2_S.gguf) | IQ2_S | 601.60MB | ✅ Available | 🟢 IMatrix | 📦 No | Yi-Coder-1.5B.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | - | Yi-Coder-1.5B.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | - | Yi-Coder-1.5B.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | - | Yi-Coder-1.5B.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | - ## Downloading using huggingface-cli If you do not have hugginface-cli installed: ``` pip install -U "huggingface_hub[cli]" ``` Download the specific file you want: ``` huggingface-cli download legraphista/Yi-Coder-1.5B-IMat-GGUF --include "Yi-Coder-1.5B.Q8_0.gguf" --local-dir ./ ``` If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: ``` huggingface-cli download legraphista/Yi-Coder-1.5B-IMat-GGUF --include "Yi-Coder-1.5B.Q8_0/*" --local-dir ./ # see FAQ for merging GGUF's ``` --- ## Inference ### Llama.cpp ``` llama.cpp/main -m Yi-Coder-1.5B.Q8_0.gguf --color -i -p "prompt here" ``` --- ## FAQ ### Why is the IMatrix not applied everywhere? According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results). ### How do I merge a split GGUF? 1. Make sure you have `gguf-split` available - To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases - Download the appropriate zip for your system from the latest release - Unzip the archive and you should be able to find `gguf-split` 2. Locate your GGUF chunks folder (ex: `Yi-Coder-1.5B.Q8_0`) 3. Run `gguf-split --merge Yi-Coder-1.5B.Q8_0/Yi-Coder-1.5B.Q8_0-00001-of-XXXXX.gguf Yi-Coder-1.5B.Q8_0.gguf` - Make sure to point `gguf-split` to the first chunk of the split. --- Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!