mradermacher/LewdMistral-7B-0.2-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/LewdMistral-7B-0.2-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-07 09:54:16 +08:00
commit c06c456e6d
14 changed files with 150 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
LewdMistral-7B-0.2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
LewdMistral-7B-0.2.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
LewdMistral-7B-0.2.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:be92269d956a65273943ab84bb784bb2b3e8f0afb2b31da44dd208e5ac4b02e6
size 3944389216

3
LewdMistral-7B-0.2.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9d24976630986bcdbb64d98e80083e6108fbb3400997d6d33bfc58f485a08e39
size 2719242848

3
LewdMistral-7B-0.2.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f5311ff01548ab26929d7aa4a54309016f51afb7ee86f7327b5ee6fd9524e45f
size 3822025312

3
LewdMistral-7B-0.2.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:11d95d5b6c69f3d5227fcbbf0bb943c54781f069a0bea3bf5c5250f04c936e5f
size 3518986848

3
LewdMistral-7B-0.2.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:303c90ac76f11be8aa533b1f85f6a6926289ff7f3ae045081addff25b8bb571b
size 3164568160

3
LewdMistral-7B-0.2.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5435877cfb7c5a80d6b0efebfd516cfe1cff64f21460e892f286498b4b307fea
size 4368439904

3
LewdMistral-7B-0.2.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:94a25bb98cea5bf6eadc8d4efbd2e1189a93b88b350bdcca9ffe9280cdc697ce
size 4140374624

3
LewdMistral-7B-0.2.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2dca920f9b2a47cfc4bc2e0348dc6b532ccb6e2cf41b708b547fcea3fbae19cf
size 5131410016

3
LewdMistral-7B-0.2.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f790b749bf35bfde9cd4c267557a600dc9fc1e11979389f6a6b303a11b8feba9
size 4997716576

3
LewdMistral-7B-0.2.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3481991dcb17f32fcc74b607610b075babe5f4835f825f33fc90939379be61b2
size 5942065760

3
LewdMistral-7B-0.2.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4acd811532de2d78994bacca8be4f3609a304b8d4e8b90be2d5f7cdab5d64e51
size 7695858272

3
LewdMistral-7B-0.2.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3cdf34e64ba563244050c7b01112f71eb9a783cbab12810b94ddbce81ac1e99a
size 14484732512

67
README.md Normal file
View File

@@ -0,0 +1,67 @@
---
base_model: Undi95/LewdMistral-7B-0.2
language:
- en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
tags:
- not-for-all-audiences
- nsfw
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Undi95/LewdMistral-7B-0.2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/LewdMistral-7B-0.2-i1-GGUF
## 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/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LewdMistral-7B-0.2-GGUF/resolve/main/LewdMistral-7B-0.2.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 -->