|
--- |
|
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/*](https://huggingface.co/legraphista/DeepSeek-Coder-V2-Instruct-IMat-GGUF/tree/main/DeepSeek-Coder-V2-Instruct.Q5_K) | Q5_K | 167.22GB | ✅ Available | ⚪ Static | ✂ Yes |
|
| 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)! |
