mradermacher commited on
Commit
74200ff
1 Parent(s): 6a97277

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -0
README.md CHANGED
@@ -1,6 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: nicoboss -->
6
  weighted/imatrix quants of https://huggingface.co/jaeyong2/Qwen2.5-0.5B-Instruct-Ja-SFT
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: jaeyong2/Qwen2.5-0.5B-Instruct-Ja-SFT
3
+ language:
4
+ - ja
5
+ - en
6
+ library_name: transformers
7
+ license: apache-2.0
8
+ quantized_by: mradermacher
9
+ ---
10
+ ## About
11
+
12
  <!-- ### quantize_version: 2 -->
13
  <!-- ### output_tensor_quantised: 1 -->
14
  <!-- ### convert_type: hf -->
15
  <!-- ### vocab_type: -->
16
  <!-- ### tags: nicoboss -->
17
  weighted/imatrix quants of https://huggingface.co/jaeyong2/Qwen2.5-0.5B-Instruct-Ja-SFT
18
+
19
+ <!-- provided-files -->
20
+ static quants are available at https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-GGUF
21
+ ## Usage
22
+
23
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
24
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
25
+ more details, including on how to concatenate multi-part files.
26
+
27
+ ## Provided Quants
28
+
29
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
30
+
31
+ | Link | Type | Size/GB | Notes |
32
+ |:-----|:-----|--------:|:------|
33
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ1_S.gguf) | i1-IQ1_S | 0.4 | for the desperate |
34
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ1_M.gguf) | i1-IQ1_M | 0.4 | mostly desperate |
35
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.4 | |
36
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.4 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ2_S.gguf) | i1-IQ2_S | 0.4 | |
38
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ2_M.gguf) | i1-IQ2_M | 0.4 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.4 | lower quality |
40
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.4 | IQ3_XS probably better |
41
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ3_S.gguf) | i1-IQ3_S | 0.4 | beats Q3_K* |
42
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.4 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q2_K.gguf) | i1-Q2_K | 0.4 | IQ3_XXS probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ3_M.gguf) | i1-IQ3_M | 0.4 | |
45
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.4 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 0.5 | fast on arm, low quality |
47
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 0.5 | fast on arm+i8mm, low quality |
48
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 0.5 | fast on arm+sve, low quality |
49
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q4_0.gguf) | i1-Q4_0 | 0.5 | fast, low quality |
50
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.5 | IQ3_S probably better |
51
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.5 | IQ3_M probably better |
52
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.5 | optimal size/speed/quality |
53
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.5 | fast, recommended |
54
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.5 | |
55
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q5_K_M.gguf) | i1-Q5_K_M | 0.5 | |
56
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-0.5B-Instruct-Ja-SFT-i1-GGUF/resolve/main/Qwen2.5-0.5B-Instruct-Ja-SFT.i1-Q6_K.gguf) | i1-Q6_K | 0.6 | practically like static Q6_K |
57
+
58
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
59
+ types (lower is better):
60
+
61
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
62
+
63
+ And here are Artefact2's thoughts on the matter:
64
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
65
+
66
+ ## FAQ / Model Request
67
+
68
+ See https://huggingface.co/mradermacher/model_requests for some answers to
69
+ questions you might have and/or if you want some other model quantized.
70
+
71
+ ## Thanks
72
+
73
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
74
+ me use its servers and providing upgrades to my workstation to enable
75
+ 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.
76
+
77
+ <!-- end -->