初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-04 20:17:11 +08:00
commit b447af7f95
8 changed files with 133 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
*.bin.* filter=lfs diff=lfs merge=lfs -text
*.bz2 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
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack 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
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
saved_model/**/* 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
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zstandard filter=lfs diff=lfs merge=lfs -text
*.tfevents* filter=lfs diff=lfs merge=lfs -text
*.db* filter=lfs diff=lfs merge=lfs -text
*.ark* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.gguf* filter=lfs diff=lfs merge=lfs -text
*.ggml filter=lfs diff=lfs merge=lfs -text
*.llamafile* filter=lfs diff=lfs merge=lfs -text
*.pt2 filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d8dea731d1c68be4a1238a201edd6d296e558e912ceba4bcd80480b2812b3c1f
size 7207035488

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2bd14f8642cf519db6320ac53e73882c2f29c12e0ae7054021b695b93496974e
size 9907118688

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1aec159793376e0372a2c3c7f1f7419fe9da45a317892836273db86a1286a879
size 12758917728

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6a195987f8912a9fe27ca46c9b53f0c3b117e51b10262d9b014755f9ad49e530
size 14333911648

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:355a94932eaaf9462505e89e954af471dfd72e5673d8b655e5f3dac91bd1bda4
size 16763986528

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:002b4bee8aab6bf886ece151981788b1f1ac7844c3474007101f0a3cb6550bcf
size 19345941088

68
README.md Normal file
View File

@@ -0,0 +1,68 @@
---
base_model: ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- nsfw
- explicit
- roleplay
- unaligned
- ERP
- Erotic
- Horror
- Violence
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-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://www.modelscope.cn/models/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF/resolve/master/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.3 | |
| [GGUF](https://www.modelscope.cn/models/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF/resolve/master/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.i1-IQ3_XS.gguf) | i1-IQ3_XS | 10.0 | |
| [GGUF](https://www.modelscope.cn/models/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF/resolve/master/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.9 | |
| [GGUF](https://www.modelscope.cn/models/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF/resolve/master/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.i1-Q4_K_M.gguf) | i1-Q4_K_M | 14.4 | fast, recommended |
| [GGUF](https://www.modelscope.cn/models/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF/resolve/master/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.i1-Q5_K_M.gguf) | i1-Q5_K_M | 16.9 | |
| [GGUF](https://www.modelscope.cn/models/mradermacher/MS3.2-The-Omega-Directive-24B-Unslop-v2.0-i1-GGUF/resolve/master/MS3.2-The-Omega-Directive-24B-Unslop-v2.0.i1-Q6_K.gguf) | i1-Q6_K | 19.4 | practically like static Q6_K |
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. 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.
<!-- end -->