File size: 9,363 Bytes
8f7724c 9a5d86e 8f7724c c535fac fab3b99 4bcc04c b61374d 8f7724c c535fac 8f7724c fab3b99 38932c0 9626bbc b8e845f 4bcc04c d5c086a df88232 4466e19 075edca 350316c 624e819 b61374d 7cd2577 24fa718 213cbaf 0436d94 141d0a3 bf67d34 d49cacf 8f7724c c216b7b 8f7724c c216b7b 8f7724c c216b7b 8f7724c c216b7b 8f7724c |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 |
---
base_model: deepseek-ai/DeepSeek-Coder-V2-Instruct
inference: false
library_name: gguf
license: other
license_link: LICENSE
license_name: deepseek-license
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- quantized
- GGUF
- quantization
- imat
- imatrix
- static
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---
# DeepSeek-Coder-V2-Instruct-IMat-GGUF
_Llama.cpp imatrix quantization of deepseek-ai/DeepSeek-Coder-V2-Instruct_
Original Model: [deepseek-ai/DeepSeek-Coder-V2-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp [b3166](https://github.com/ggerganov/llama.cpp/releases/tag/b3166)
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)
- [Simple chat template](#simple-chat-template)
- [Chat template with system prompt](#chat-template-with-system-prompt)
- [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/DeepSeek-Coder-V2-Instruct-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [DeepSeek-Coder-V2-Instruct.Q6_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q6_K) | Q6_K | 193.54GB | ✅ Available | ⚪ Static | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q4_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q4_K) | Q4_K | 142.45GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q3_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q3_K) | Q3_K | 112.67GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q2_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q2_K) | Q2_K | 85.95GB | ✅ Available | 🟢 IMatrix | ✂ Yes
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [DeepSeek-Coder-V2-Instruct.Q6_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q6_K) | Q6_K | 193.54GB | ✅ Available | ⚪ Static | ✂ Yes
| DeepSeek-Coder-V2-Instruct.Q5_K | Q5_K | - | ⏳ Processing | ⚪ Static | -
| DeepSeek-Coder-V2-Instruct.Q5_K_S | Q5_K_S | - | ⏳ Processing | ⚪ Static | -
| [DeepSeek-Coder-V2-Instruct.Q4_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q4_K) | Q4_K | 142.45GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q4_K_S/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q4_K_S) | Q4_K_S | 133.88GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ4_NL/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ4_NL) | IQ4_NL | 132.91GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ4_XS/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ4_XS) | IQ4_XS | 125.56GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q3_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q3_K) | Q3_K | 112.67GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q3_K_L/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q3_K_L) | Q3_K_L | 122.37GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q3_K_S/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q3_K_S) | Q3_K_S | 101.68GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ3_M/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ3_M) | IQ3_M | 103.37GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ3_S/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ3_S) | IQ3_S | 101.68GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ3_XS/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ3_XS) | IQ3_XS | 96.30GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ3_XXS/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ3_XXS) | IQ3_XXS | 90.85GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q2_K/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q2_K) | Q2_K | 85.95GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.Q2_K_S/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q2_K_S) | Q2_K_S | 79.60GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ2_M/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ2_M) | IQ2_M | 76.92GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ2_S/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ2_S) | IQ2_S | 69.87GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ2_XS/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ2_XS) | IQ2_XS | 68.71GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ2_XXS/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ2_XXS) | IQ2_XXS | 61.50GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ1_M/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ1_M) | IQ1_M | 52.68GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [DeepSeek-Coder-V2-Instruct.IQ1_S/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.IQ1_S) | IQ1_S | 47.39GB | ✅ Available | 🟢 IMatrix | ✂ Yes
## 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/DeepSeek-Coder-V2-Instruct-IMat-GGUF --include "DeepSeek-Coder-V2-Instruct.Q6_K.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/DeepSeek-Coder-V2-Instruct-IMat-GGUF --include "DeepSeek-Coder-V2-Instruct.Q6_K/*" --local-dir ./
# see FAQ for merging GGUF's
```
---
## Inference
### Simple chat template
```
<｜begin▁of▁sentence｜>User: {user_prompt}
Assistant: {assistant_response}<｜end▁of▁sentence｜>User: {next_user_prompt}
```
### Chat template with system prompt
```
<｜begin▁of▁sentence｜>{system_prompt}
User: {user_prompt}
Assistant: {assistant_response}<｜end▁of▁sentence｜>User: {next_user_prompt}
```
### Llama.cpp
```
llama.cpp/main -m DeepSeek-Coder-V2-Instruct.Q6_K.gguf --color -i -p "prompt here (according to the chat template)"
```
---
## 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: `DeepSeek-Coder-V2-Instruct.Q6_K`)
3. Run `gguf-split --merge DeepSeek-Coder-V2-Instruct.Q6_K/DeepSeek-Coder-V2-Instruct.Q6_K-00001-of-XXXXX.gguf DeepSeek-Coder-V2-Instruct.Q6_K.gguf`
- Make sure to point `gguf-split` to the first chunk of the split.
---
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |