Hugging Face's logo

legraphista
/
Qwen2-0.5B-IMat-GGUF

Text Generation
GGUF
English
pretrained
quantized
GGUF
imatrix
quantization
imat
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit
conversational
Model card Files Community
Qwen2-0.5B-IMat-GGUF
File size: 8,786 Bytes 
a0b49d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7b3257e
a0b49d9
 
 
 
 
0a7c16f
 
19719a1
6cef621
c726c3e
a0b49d9
 
 
 
 
aea9c95
7b3257e
0a7c16f
 
82d0747
6bbf354
19719a1
ef099d7
1447798
c37aa29
6cef621
e813cbc
b95ac5f
1761df1
b678418
d36d930
335bc26
c726c3e
c6afee1
8ac2d73
69d0d2c
187aa00
a0b49d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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/Qwen2-0.5B
inference: false
language:
- en
library_name: gguf
license: apache-2.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- pretrained
- quantized
- GGUF
- imatrix
- quantization
- imat
- imatrix
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---

# Qwen2-0.5B-IMat-GGUF
_Llama.cpp imatrix quantization of Qwen/Qwen2-0.5B_

Original Model: [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B)    
Original dtype: `BF16` (`bfloat16`)  
Quantized by:  llama.cpp [b3091](https://github.com/ggerganov/llama.cpp/releases/tag/b3091)  
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/Qwen2-0.5B-IMat-GGUF/blob/main/imatrix.dat) 

### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Qwen2-0.5B.Q8_0.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q8_0.gguf) | Q8_0 | 531.07MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q6_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q6_K.gguf) | Q6_K | 505.73MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q4_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q4_K.gguf) | Q4_K | 397.81MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q3_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q3_K.gguf) | Q3_K | 355.46MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q2_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q2_K.gguf) | Q2_K | 338.60MB | ✅ Available | 🟢 IMatrix | 📦 No


### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Qwen2-0.5B.BF16.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.BF16.gguf) | BF16 | 994.15MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.FP16.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.FP16.gguf) | F16 | 994.15MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q8_0.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q8_0.gguf) | Q8_0 | 531.07MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q6_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q6_K.gguf) | Q6_K | 505.73MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q5_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q5_K.gguf) | Q5_K | 420.08MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q5_K_S.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q5_K_S.gguf) | Q5_K_S | 412.71MB | ✅ Available | ⚪ Static | 📦 No
| [Qwen2-0.5B.Q4_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q4_K.gguf) | Q4_K | 397.81MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q4_K_S.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q4_K_S.gguf) | Q4_K_S | 385.47MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ4_NL.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ4_NL.gguf) | IQ4_NL | 352.67MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ4_XS.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ4_XS.gguf) | IQ4_XS | 349.40MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q3_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q3_K.gguf) | Q3_K | 355.46MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q3_K_L.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q3_K_L.gguf) | Q3_K_L | 369.36MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q3_K_S.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q3_K_S.gguf) | Q3_K_S | 338.26MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ3_M.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ3_M.gguf) | IQ3_M | 342.75MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ3_S.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ3_S.gguf) | IQ3_S | 338.60MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ3_XS.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ3_XS.gguf) | IQ3_XS | 338.60MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ3_XXS.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ3_XXS.gguf) | IQ3_XXS | 333.70MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q2_K.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q2_K.gguf) | Q2_K | 338.60MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.Q2_K_S.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.Q2_K_S.gguf) | Q2_K_S | 331.05MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ2_M.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ2_M.gguf) | IQ2_M | 328.59MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ2_S.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ2_S.gguf) | IQ2_S | 325.73MB | ✅ Available | 🟢 IMatrix | 📦 No
| [Qwen2-0.5B.IQ2_XS.gguf](https://huggingface.co/legraphista/Qwen2-0.5B-IMat-GGUF/blob/main/Qwen2-0.5B.IQ2_XS.gguf) | IQ2_XS | 324.41MB | ✅ Available | 🟢 IMatrix | 📦 No
| Qwen2-0.5B.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
| Qwen2-0.5B.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
| Qwen2-0.5B.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/Qwen2-0.5B-IMat-GGUF --include "Qwen2-0.5B.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/Qwen2-0.5B-IMat-GGUF --include "Qwen2-0.5B.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
```

---

## Inference

### Simple chat template
```
<|im_start|>system
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 Qwen2-0.5B.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: `Qwen2-0.5B.Q8_0`)
3. Run `gguf-split --merge Qwen2-0.5B.Q8_0/Qwen2-0.5B.Q8_0-00001-of-XXXXX.gguf Qwen2-0.5B.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)!