Transformers
GGUF
English
shining-valiant
shining-valiant-3
valiant
valiant-labs
gpt
gpt-oss
gpt-oss-20b
openai
20b
reasoning
code
code-reasoning
science
science-reasoning
physics
biology
chemistry
earth-science
astronomy
machine-learning
artificial-intelligence
compsci
computer-science
information-theory
ML-Ops
math
cuda
deep-learning
agentic
LLM
neuromorphic
self-improvement
complex-systems
cognition
linguistics
philosophy
logic
epistemology
simulation
game-theory
knowledge-management
creativity
problem-solving
architect
engineer
developer
creative
analytical
expert
rationality
conversational
chat
instruct
imatrix
auto-patch README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
<!-- ### quantize_version: 2 -->
|
2 |
<!-- ### output_tensor_quantised: 1 -->
|
3 |
<!-- ### convert_type: hf -->
|
@@ -7,3 +78,66 @@
|
|
7 |
<!-- ### quants_skip: -->
|
8 |
<!-- ### skip_mmproj: -->
|
9 |
weighted/imatrix quants of https://huggingface.co/ValiantLabs/gpt-oss-20b-ShiningValiant3
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: ValiantLabs/gpt-oss-20b-ShiningValiant3
|
3 |
+
datasets:
|
4 |
+
- sequelbox/Celestia3-DeepSeek-R1-0528
|
5 |
+
- sequelbox/Mitakihara-DeepSeek-R1-0528
|
6 |
+
- sequelbox/Raiden-DeepSeek-R1
|
7 |
+
language:
|
8 |
+
- en
|
9 |
+
library_name: transformers
|
10 |
+
license: apache-2.0
|
11 |
+
mradermacher:
|
12 |
+
readme_rev: 1
|
13 |
+
quantized_by: mradermacher
|
14 |
+
tags:
|
15 |
+
- shining-valiant
|
16 |
+
- shining-valiant-3
|
17 |
+
- valiant
|
18 |
+
- valiant-labs
|
19 |
+
- gpt
|
20 |
+
- gpt-oss
|
21 |
+
- gpt-oss-20b
|
22 |
+
- openai
|
23 |
+
- 20b
|
24 |
+
- reasoning
|
25 |
+
- code
|
26 |
+
- code-reasoning
|
27 |
+
- science
|
28 |
+
- science-reasoning
|
29 |
+
- physics
|
30 |
+
- biology
|
31 |
+
- chemistry
|
32 |
+
- earth-science
|
33 |
+
- astronomy
|
34 |
+
- machine-learning
|
35 |
+
- artificial-intelligence
|
36 |
+
- compsci
|
37 |
+
- computer-science
|
38 |
+
- information-theory
|
39 |
+
- ML-Ops
|
40 |
+
- math
|
41 |
+
- cuda
|
42 |
+
- deep-learning
|
43 |
+
- transformers
|
44 |
+
- agentic
|
45 |
+
- LLM
|
46 |
+
- neuromorphic
|
47 |
+
- self-improvement
|
48 |
+
- complex-systems
|
49 |
+
- cognition
|
50 |
+
- linguistics
|
51 |
+
- philosophy
|
52 |
+
- logic
|
53 |
+
- epistemology
|
54 |
+
- simulation
|
55 |
+
- game-theory
|
56 |
+
- knowledge-management
|
57 |
+
- creativity
|
58 |
+
- problem-solving
|
59 |
+
- architect
|
60 |
+
- engineer
|
61 |
+
- developer
|
62 |
+
- creative
|
63 |
+
- analytical
|
64 |
+
- expert
|
65 |
+
- rationality
|
66 |
+
- conversational
|
67 |
+
- chat
|
68 |
+
- instruct
|
69 |
+
---
|
70 |
+
## About
|
71 |
+
|
72 |
<!-- ### quantize_version: 2 -->
|
73 |
<!-- ### output_tensor_quantised: 1 -->
|
74 |
<!-- ### convert_type: hf -->
|
|
|
78 |
<!-- ### quants_skip: -->
|
79 |
<!-- ### skip_mmproj: -->
|
80 |
weighted/imatrix quants of https://huggingface.co/ValiantLabs/gpt-oss-20b-ShiningValiant3
|
81 |
+
|
82 |
+
<!-- provided-files -->
|
83 |
+
|
84 |
+
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#gpt-oss-20b-ShiningValiant3-i1-GGUF).***
|
85 |
+
|
86 |
+
static quants are available at https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-GGUF
|
87 |
+
## Usage
|
88 |
+
|
89 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
90 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
91 |
+
more details, including on how to concatenate multi-part files.
|
92 |
+
|
93 |
+
## Provided Quants
|
94 |
+
|
95 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
96 |
+
|
97 |
+
| Link | Type | Size/GB | Notes |
|
98 |
+
|:-----|:-----|--------:|:------|
|
99 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
|
100 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ1_M.gguf) | i1-IQ1_M | 12.1 | mostly desperate |
|
101 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ1_S.gguf) | i1-IQ1_S | 12.1 | for the desperate |
|
102 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 12.1 | |
|
103 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ2_XS.gguf) | i1-IQ2_XS | 12.1 | |
|
104 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q3_K_S.gguf) | i1-Q3_K_S | 12.2 | IQ3_XS probably better |
|
105 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ2_M.gguf) | i1-IQ2_M | 12.2 | |
|
106 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ2_S.gguf) | i1-IQ2_S | 12.2 | |
|
107 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ3_S.gguf) | i1-IQ3_S | 12.2 | beats Q3_K* |
|
108 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ3_XS.gguf) | i1-IQ3_XS | 12.2 | |
|
109 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.2 | lower quality |
|
110 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q2_K.gguf) | i1-Q2_K | 12.2 | IQ3_XXS probably better |
|
111 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.2 | |
|
112 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.2 | very low quality |
|
113 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q4_0.gguf) | i1-Q4_0 | 12.2 | fast, low quality |
|
114 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-IQ3_M.gguf) | i1-IQ3_M | 12.3 | |
|
115 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q3_K_M.gguf) | i1-Q3_K_M | 13.0 | IQ3_S probably better |
|
116 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q3_K_L.gguf) | i1-Q3_K_L | 13.4 | IQ3_M probably better |
|
117 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q4_1.gguf) | i1-Q4_1 | 13.5 | |
|
118 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q4_K_S.gguf) | i1-Q4_K_S | 14.8 | optimal size/speed/quality |
|
119 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q4_K_M.gguf) | i1-Q4_K_M | 15.9 | fast, recommended |
|
120 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q5_K_S.gguf) | i1-Q5_K_S | 16.0 | |
|
121 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q5_K_M.gguf) | i1-Q5_K_M | 17.0 | |
|
122 |
+
| [GGUF](https://huggingface.co/mradermacher/gpt-oss-20b-ShiningValiant3-i1-GGUF/resolve/main/gpt-oss-20b-ShiningValiant3.i1-Q6_K.gguf) | i1-Q6_K | 22.3 | practically like static Q6_K |
|
123 |
+
|
124 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
125 |
+
types (lower is better):
|
126 |
+
|
127 |
+

|
128 |
+
|
129 |
+
And here are Artefact2's thoughts on the matter:
|
130 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
131 |
+
|
132 |
+
## FAQ / Model Request
|
133 |
+
|
134 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
135 |
+
questions you might have and/or if you want some other model quantized.
|
136 |
+
|
137 |
+
## Thanks
|
138 |
+
|
139 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
140 |
+
me use its servers and providing upgrades to my workstation to enable
|
141 |
+
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.
|
142 |
+
|
143 |
+
<!-- end -->
|