初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/GRM-Kerlin-3b-Abliterated-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-06 22:17:16 +08:00
commit 578863e5a6
14 changed files with 158 additions and 0 deletions

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
GRM-Kerlin-3b-Abliterated.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
GRM-Kerlin-3b-Abliterated.f16.gguf filter=lfs diff=lfs merge=lfs -text

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:823121db44ae9bef8b9bc404257f8793615947cee184daeb89823b240db8bf0d
size 1753185536

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1469ca29ebce1c8982e26984a05becc3c1e9a1531582438f9dc745b731515714
size 1274756352

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d1cef2c19c33dce30e11a0a712bc44f35692a73c52646a48db4a41dfdb4ded91
size 1707392256

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:82359776ea12d59c589a1ca8bee6c7a6e18bef5139cf4f3b3e80f4e6d5b325d5
size 1590476032

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8fbca8d314b13fd7fbba09c46d112a819343b010459dc35e8d0de418a82cbd2a
size 1454357760

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9d110bfca0be4665ffab01fdc4b32bc7f745fe8c33df27ab6131739a74694b4b
size 1929903360

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:908ffbf32e024b7adf63b57dd29c774a6fe572be6a14aaa4325b975fd69c9d9b
size 1834384640

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28f1b75c0549c4b10520fea9a84992389ceb42b41f2aea17ef86699ea3216f89
size 2224815360

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d25db9069a086b78f44388c84afa11114cdfb018931b5b33d9b9b50379f38bfe
size 2169666816

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:341e7dc5895e9e5a21d08999d3b2b5c66d73d72d1e4667356f996b1fb8efd60d
size 2538159360

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c465d299ba93e369e6e293236acd90ed18cb0c2191374781d5b4e921790c33f5
size 3285476608

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ffcb2fcb1e54c4535dde0cfa63cc5e28977e008019c08e54eb167fee595c593c
size 6178317568

75
README.md Normal file
View File

@@ -0,0 +1,75 @@
---
base_model: usermma/GRM-Kerlin-3b-Abliterated
language: en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- obliteratus
- abliteration
- uncensored
- obliterate
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/usermma/GRM-Kerlin-3b-Abliterated
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#GRM-Kerlin-3b-Abliterated-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-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/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q2_K.gguf) | Q2_K | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q3_K_L.gguf) | Q3_K_L | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.IQ4_XS.gguf) | IQ4_XS | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q4_K_S.gguf) | Q4_K_S | 1.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q4_K_M.gguf) | Q4_K_M | 2.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q5_K_S.gguf) | Q5_K_S | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q5_K_M.gguf) | Q5_K_M | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q6_K.gguf) | Q6_K | 2.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.Q8_0.gguf) | Q8_0 | 3.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/GRM-Kerlin-3b-Abliterated-GGUF/resolve/main/GRM-Kerlin-3b-Abliterated.f16.gguf) | f16 | 6.3 | 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 -->