mradermacher commited on
Commit
917965d
·
verified ·
1 Parent(s): 84319d4

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +104 -0
README.md CHANGED
@@ -1,3 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
@@ -7,3 +47,67 @@
7
  <!-- ### quants_skip: -->
8
  <!-- ### skip_mmproj: -->
9
  weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: DavidAU/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B
3
+ datasets:
4
+ - progs2002/star-trek-tng-scripts
5
+ language:
6
+ - en
7
+ library_name: transformers
8
+ license: apache-2.0
9
+ mradermacher:
10
+ readme_rev: 1
11
+ quantized_by: mradermacher
12
+ tags:
13
+ - programming
14
+ - code generation
15
+ - code
16
+ - coding
17
+ - coder
18
+ - chat
19
+ - code
20
+ - chat
21
+ - brainstorm
22
+ - qwen
23
+ - qwen3
24
+ - qwencoder
25
+ - brainstorm 20x
26
+ - creative
27
+ - all uses cases
28
+ - Jan-V1
29
+ - float32
30
+ - horror
31
+ - science fiction
32
+ - fantasy
33
+ - Star Trek
34
+ - finetune
35
+ - thinking
36
+ - reasoning
37
+ - unsloth
38
+ ---
39
+ ## About
40
+
41
  <!-- ### quantize_version: 2 -->
42
  <!-- ### output_tensor_quantised: 1 -->
43
  <!-- ### convert_type: hf -->
 
47
  <!-- ### quants_skip: -->
48
  <!-- ### skip_mmproj: -->
49
  weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B
50
+
51
+ <!-- provided-files -->
52
+
53
+ ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF).***
54
+
55
+ static quants are available at https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-GGUF
56
+ ## Usage
57
+
58
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
59
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
60
+ more details, including on how to concatenate multi-part files.
61
+
62
+ ## Provided Quants
63
+
64
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
65
+
66
+ | Link | Type | Size/GB | Notes |
67
+ |:-----|:-----|--------:|:------|
68
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
69
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |
70
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ1_M.gguf) | i1-IQ1_M | 1.8 | mostly desperate |
71
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.0 | |
72
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.2 | |
73
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ2_S.gguf) | i1-IQ2_S | 2.3 | |
74
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ2_M.gguf) | i1-IQ2_M | 2.4 | |
75
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.4 | very low quality |
76
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q2_K.gguf) | i1-Q2_K | 2.6 | IQ3_XXS probably better |
77
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.7 | lower quality |
78
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 2.9 | |
79
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.0 | IQ3_XS probably better |
80
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ3_S.gguf) | i1-IQ3_S | 3.0 | beats Q3_K* |
81
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ3_M.gguf) | i1-IQ3_M | 3.1 | |
82
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.3 | IQ3_S probably better |
83
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.5 | IQ3_M probably better |
84
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 3.6 | |
85
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q4_0.gguf) | i1-Q4_0 | 3.8 | fast, low quality |
86
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 3.8 | prefer IQ4_XS |
87
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 3.8 | optimal size/speed/quality |
88
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.0 | fast, recommended |
89
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q4_1.gguf) | i1-Q4_1 | 4.1 | |
90
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 4.5 | |
91
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 4.6 | |
92
+ | [GGUF](https://huggingface.co/mradermacher/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B-i1-GGUF/resolve/main/Qwen3-ST-The-Next-Generation-v1-256k-ctx-6B.i1-Q6_K.gguf) | i1-Q6_K | 5.3 | practically like static Q6_K |
93
+
94
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
95
+ types (lower is better):
96
+
97
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
98
+
99
+ And here are Artefact2's thoughts on the matter:
100
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
101
+
102
+ ## FAQ / Model Request
103
+
104
+ See https://huggingface.co/mradermacher/model_requests for some answers to
105
+ questions you might have and/or if you want some other model quantized.
106
+
107
+ ## Thanks
108
+
109
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
110
+ me use its servers and providing upgrades to my workstation to enable
111
+ 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.
112
+
113
+ <!-- end -->