File size: 10,217 Bytes
d2a877d e96cf4c d2a877d c6cadf9 f1a4445 6683636 1533066 e6ac45d d2a877d 7f64b49 37de1bf c6cadf9 f1a4445 ccf8ddb 595a443 6683636 8e77d56 f4b9869 1533066 8e77d56 906804a d0fe3e2 7751364 c4d9997 e6ac45d fb1ac54 0655ea2 6642d9c 6567418 315981f a38082b d2a877d |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 |
---
base_model: Qwen/Qwen2.5-32B-Instruct
inference: false
language:
- en
library_name: gguf
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-32B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- chat
- quantized
- GGUF
- quantization
- imat
- imatrix
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---
# Qwen2.5-32B-Instruct-IMat-GGUF
_Llama.cpp imatrix quantization of Qwen/Qwen2.5-32B-Instruct_
Original Model: [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp [b3787](https://github.com/ggerganov/llama.cpp/releases/tag/b3787)
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/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Qwen2.5-32B-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q8_0.gguf) | Q8_0 | 34.82GB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2.5-32B-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q6_K.gguf) | Q6_K | 26.89GB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2.5-32B-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q4_K.gguf) | Q4_K | 19.85GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q3_K.gguf) | Q3_K | 15.94GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q2_K.gguf) | Q2_K | 12.31GB | ✅ Available | 🟢 IMatrix | 📦 No
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Qwen2.5-32B-Instruct.BF16/*](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/tree/main/Qwen2.5-32B-Instruct.BF16) | BF16 | 65.54GB | ✅ Available | ⚪ Static | ✂ Yes
| [Qwen2.5-32B-Instruct.FP16/*](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/tree/main/Qwen2.5-32B-Instruct.FP16) | F16 | 65.54GB | ✅ Available | ⚪ Static | ✂ Yes
| [Qwen2.5-32B-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q8_0.gguf) | Q8_0 | 34.82GB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2.5-32B-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q6_K.gguf) | Q6_K | 26.89GB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2.5-32B-Instruct.Q5_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q5_K.gguf) | Q5_K | 23.26GB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2.5-32B-Instruct.Q5_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q5_K_S.gguf) | Q5_K_S | 22.64GB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2.5-32B-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q4_K.gguf) | Q4_K | 19.85GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q4_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q4_K_S.gguf) | Q4_K_S | 18.78GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ4_NL.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ4_NL.gguf) | IQ4_NL | 18.68GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ4_XS.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ4_XS.gguf) | IQ4_XS | 17.69GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q3_K.gguf) | Q3_K | 15.94GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q3_K_L.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q3_K_L.gguf) | Q3_K_L | 17.25GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q3_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q3_K_S.gguf) | Q3_K_S | 14.39GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ3_M.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ3_M.gguf) | IQ3_M | 14.81GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ3_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ3_S.gguf) | IQ3_S | 14.44GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ3_XS.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ3_XS.gguf) | IQ3_XS | 13.71GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ3_XXS.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ3_XXS.gguf) | IQ3_XXS | 12.84GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q2_K.gguf) | Q2_K | 12.31GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.Q2_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.Q2_K_S.gguf) | Q2_K_S | 11.49GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ2_M.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ2_M.gguf) | IQ2_M | 11.26GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ2_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ2_S.gguf) | IQ2_S | 10.39GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ2_XS.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ2_XS.gguf) | IQ2_XS | 9.96GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ2_XXS.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ2_XXS.gguf) | IQ2_XXS | 9.03GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ1_M.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ1_M.gguf) | IQ1_M | 7.93GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2.5-32B-Instruct.IQ1_S.gguf](https://huggingface.co/legraphista/Qwen2.5-32B-Instruct-IMat-GGUF/blob/main/Qwen2.5-32B-Instruct.IQ1_S.gguf) | IQ1_S | 7.27GB | ✅ Available | 🟢 IMatrix | 📦 No
## 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/Qwen2.5-32B-Instruct-IMat-GGUF --include "Qwen2.5-32B-Instruct.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/Qwen2.5-32B-Instruct-IMat-GGUF --include "Qwen2.5-32B-Instruct.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
```
---
## Inference
### Simple chat template
```
<|im_start|>system
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
<|im_start|>user
{user_prompt}<|im_end|>
<|im_start|>assistant
{assistant_response}<|im_end|>
<|im_start|>user
{next_user_prompt}<|im_end|>
```
### Chat template with system prompt
```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{user_prompt}<|im_end|>
<|im_start|>assistant
{assistant_response}<|im_end|>
<|im_start|>user
{next_user_prompt}<|im_end|>
```
### Llama.cpp
```
llama.cpp/main -m Qwen2.5-32B-Instruct.Q8_0.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: `Qwen2.5-32B-Instruct.Q8_0`)
3. Run `gguf-split --merge Qwen2.5-32B-Instruct.Q8_0/Qwen2.5-32B-Instruct.Q8_0-00001-of-XXXXX.gguf Qwen2.5-32B-Instruct.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)! |