mradermacher/KUJIRA_Stock_1-GGUF
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: mradermacher/KUJIRA_Stock_1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-10-08 17:49:17 +08:00
commit e52c5d66ee
14 changed files with 151 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
.gitattributes vendored Normal file
View File

@@ -0,0 +1,47 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.f16.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
KUJIRA_Stock_1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
KUJIRA_Stock_1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ca48e20679977332405d70ec77f6b3c516859a9d6ef4cc1397a333e6c1e22ea8
size 3944390848

3
KUJIRA_Stock_1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:401b8af1475401a033f83176cfdc02261fd699df19718f0849127226869d04ce
size 2719244480

3
KUJIRA_Stock_1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f9fa86943b78c5f0e8cd4acb8e85d9ee23cc434ee81496c3a01a20e87efa0769
size 3822026944

3
KUJIRA_Stock_1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7c5b202c46936555de200fc8140580ac34688ab739abc45f14d53c8b0d989739
size 3518988480

3
KUJIRA_Stock_1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95f9eca5d96df56c2372393eae0e5d615ec32cc1d8c474b2e3adb318fa42529b
size 3164569792

3
KUJIRA_Stock_1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9620d09992afbfec372e2d06450f246607ab11b5622cc56a33454d50691dd3b9
size 4368441536

3
KUJIRA_Stock_1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:807b362955f11314e129f0cdc5fdf3a729009080ecfcb42bae868650056e2eef
size 4140376256

3
KUJIRA_Stock_1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c7dcac1a9241f4077aeab96388948a375b29454c41c8b4d13dafdd790ae128cf
size 5131411648

3
KUJIRA_Stock_1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:242e4b99d79fcca7ec561ba07a21d0a04e925bfa70a1e1678172e37c91d53087
size 4997718208

3
KUJIRA_Stock_1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:75e98b2ace000f3a8397bc55abe48f0563a2301e99b244340418c0a903f64733
size 5942067392

3
KUJIRA_Stock_1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:74a85f941c0d49bb1ab5cf5867f43d80de9eeab7e32a25eeaa03e587c872a04e
size 7695859904

3
KUJIRA_Stock_1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3e3ef9a854f8231bd497b51e4115c052bd3183bb510702416159049232f04ace
size 14484734144

68
README.md Normal file
View File

@@ -0,0 +1,68 @@
---
base_model: soramikaduki/KUJIRA_Stock_1
language:
- en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
tags:
- mergekit
- merge
- not-for-all-audiences
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/soramikaduki/KUJIRA_Stock_1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/KUJIRA_Stock_1-GGUF/resolve/main/KUJIRA_Stock_1.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->