File size: 8,523 Bytes
1220606 aefbc4e 1220606 b56ce20 70c25b9 c0c3ca2 1220606 ae87970 c0c3ca2 b56ce20 ae87970 70c25b9 2bc0b50 4827103 c0c3ca2 2bc0b50 5a88c64 ad5b7e3 c0c3ca2 4827103 ad5b7e3 4caedf0 1220606 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 |
---
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: β
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 | β
Available | βͺ Static | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | βͺ Static | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ 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 | β
Available | π’ IMatrix | π¦ No
| [Yi-Coder-1.5B.IQ2_XS.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ2_XS.gguf) | IQ2_XS | 563.91MB | β
Available | π’ IMatrix | π¦ No
| [Yi-Coder-1.5B.IQ2_XXS.gguf](https://huggingface.co/legraphista/Yi-Coder-1.5B-IMat-GGUF/blob/main/Yi-Coder-1.5B.IQ2_XXS.gguf) | IQ2_XXS | 537.57MB | β
Available | π’ IMatrix | π¦ No
| Yi-Coder-1.5B.IQ1_M | IQ1_M | - | β³ Processing | π’ IMatrix | -
| Yi-Coder-1.5B.IQ1_S | IQ1_S | - | β³ Processing | π’ 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)! |