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Qwen2.5-1.5B-Instruct-i1-GGUF

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1
- ---
2
- base_model: Qwen/Qwen2.5-1.5B-Instruct
3
- language:
4
- - en
5
- library_name: transformers
6
- license: apache-2.0
7
- license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
8
- quantized_by: mradermacher
9
- tags:
10
- - chat
11
- ---
12
- ## About
13
-
14
- <!-- ### quantize_version: 2 -->
15
- <!-- ### output_tensor_quantised: 1 -->
16
- <!-- ### convert_type: hf -->
17
- <!-- ### vocab_type: -->
18
- <!-- ### tags: nicoboss -->
19
- weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
20
-
21
- <!-- provided-files -->
22
- static quants are available at https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF
23
- ## Usage
24
-
25
- If you are unsure how to use GGUF files, refer to one of [TheBloke's
26
- READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
27
- more details, including on how to concatenate multi-part files.
28
-
29
- ## Provided Quants
30
-
31
- (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
32
-
33
- | Link | Type | Size/GB | Notes |
34
- |:-----|:-----|--------:|:------|
35
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate |
36
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |
37
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 | |
38
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
39
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
40
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
41
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |
42
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
43
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
44
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
45
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |
46
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |
47
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 | |
48
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |
49
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.0 | IQ3_M probably better |
50
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 | |
51
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality |
52
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
53
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
54
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |
55
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
56
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
57
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
58
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 | |
59
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
60
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_0.gguf) | i1-Q5_0 | 1.2 | |
61
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
62
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_1.gguf) | i1-Q5_1 | 1.3 | |
63
- | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
64
-
65
- Here is a handy graph by ikawrakow comparing some lower-quality quant
66
- types (lower is better):
67
-
68
- ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
69
-
70
- And here are Artefact2's thoughts on the matter:
71
- https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
72
-
73
- ## FAQ / Model Request
74
-
75
- See https://huggingface.co/mradermacher/model_requests for some answers to
76
- questions you might have and/or if you want some other model quantized.
77
-
78
- ## Thanks
79
-
80
- I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
81
- me use its servers and providing upgrades to my workstation to enable
82
- this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
83
-
84
- <!-- end -->
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-1.5B-Instruct
3
+ language:
4
+ - zho
5
+ - eng
6
+ - fra
7
+ - spa
8
+ - por
9
+ - deu
10
+ - ita
11
+ - rus
12
+ - jpn
13
+ - kor
14
+ - vie
15
+ - tha
16
+ - ara
17
+ library_name: transformers
18
+ license: apache-2.0
19
+ license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
20
+ quantized_by: mradermacher
21
+ tags:
22
+ - chat
23
+ ---
24
+ ## About
25
+
26
+ <!-- ### quantize_version: 2 -->
27
+ <!-- ### output_tensor_quantised: 1 -->
28
+ <!-- ### convert_type: hf -->
29
+ <!-- ### vocab_type: -->
30
+ <!-- ### tags: nicoboss -->
31
+ weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct
32
+
33
+ <!-- provided-files -->
34
+ static quants are available at https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-GGUF
35
+ ## Usage
36
+
37
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
38
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
39
+ more details, including on how to concatenate multi-part files.
40
+
41
+ ## Provided Quants
42
+
43
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
44
+
45
+ | Link | Type | Size/GB | Notes |
46
+ |:-----|:-----|--------:|:------|
47
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate |
48
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |
49
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |
54
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
55
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
56
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
57
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |
58
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |
59
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 | |
60
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |
61
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.0 | IQ3_M probably better |
62
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 | |
63
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality |
64
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality |
65
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality |
66
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |
67
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
68
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
69
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
70
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 | |
71
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
72
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_0.gguf) | i1-Q5_0 | 1.2 | |
73
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
74
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q5_1.gguf) | i1-Q5_1 | 1.3 | |
75
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2.5-1.5B-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
76
+
77
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
78
+ types (lower is better):
79
+
80
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
81
+
82
+ And here are Artefact2's thoughts on the matter:
83
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
84
+
85
+ ## FAQ / Model Request
86
+
87
+ See https://huggingface.co/mradermacher/model_requests for some answers to
88
+ questions you might have and/or if you want some other model quantized.
89
+
90
+ ## Thanks
91
+
92
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
93
+ me use its servers and providing upgrades to my workstation to enable
94
+ this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
95
+
96
+ <!-- end -->