mradermacher/DRT-o1-8B-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/DRT-o1-8B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-20 21:51:21 +08:00
commit 980fb7146f
14 changed files with 157 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
DRT-o1-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
DRT-o1-8B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
DRT-o1-8B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:055fd789b7dcdcb34b948cdd6c3fa448cab19b55349bd59f0593432b0460f867
size 4484368192

3
DRT-o1-8B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a0630dc3a10ed1448ace9eebe6d93471ad0eca1657ff32991d9bdfa72caf494d
size 3179136832

3
DRT-o1-8B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2d011040989dd3c127f9e7f27420244b65ac13c6365f2a69b6f5f7a119f2da1a
size 4321961792

3
DRT-o1-8B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4066ad74d1d23248e0413998847d0383649e5357a7fada1a459c84aed3cb1c38
size 4018923328

3
DRT-o1-8B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0c2fa8e0d01b0addfc6b8051eb79a2dee7a64ad37659fea9367615d6cd4a6eae
size 3664504640

3
DRT-o1-8B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4b2c231f2664126bd9a5fd15e485b4f3e48a72a27b1c5b104c3c33a9ddf27dd7
size 4920739648

3
DRT-o1-8B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:74c92f83b51c168d410e86eba0edccf1f82c374a7e1f22ce6289017958a32e44
size 4692674368

3
DRT-o1-8B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ede9af1dbd2d861625e9f5f287801706fb242b19baefdab37e2920f2720b45ca
size 5732992832

3
DRT-o1-8B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:98856736fc0c2b5c34ecc0d67670d6ea61e03cc490684799050bcebf6a428293
size 5599299392

3
DRT-o1-8B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:98b21c396aaff2d902a863ff538bd12920e3a3be4588f6d91d2e8d01b8b20af3
size 6596011840

3
DRT-o1-8B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:841d485c28bab948a4903b6e5da1e8997a1fc1840ea530cd04e63784575530c6
size 8540776256

3
DRT-o1-8B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fe068f3cab20214f0a641d718912eecd7e793119719f4af7b1cef345b8af27ea
size 16068896576

74
README.md Normal file
View File

@@ -0,0 +1,74 @@
---
base_model: Krystalan/DRT-8B
language:
- en
- zh
library_name: transformers
license: cc-by-nc-sa-4.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- machine tranlsation
- O1-like model
- Chat
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Krystalan/DRT-8B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#DRT-o1-8B-GGUF).***
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/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/DRT-o1-8B-GGUF/resolve/main/DRT-o1-8B.f16.gguf) | f16 | 16.2 | 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 -->