mradermacher/Clarus-7B-v0.2-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/Clarus-7B-v0.2-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-15 18:40:16 +08:00
commit 05e66f9adc
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
Clarus-7B-v0.2.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.f16.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Clarus-7B-v0.2.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Clarus-7B-v0.2.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f15a4144b66c70401b3d9bc70194f9551f5faaf0828396024516ef18b871fd1
size 4248358176

3
Clarus-7B-v0.2.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7b743489a11f3e4de719b4a747a17dc6010cc5e987f04f8ea477980a31c22577
size 3014290368

3
Clarus-7B-v0.2.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:73f8cfee0ba3da8865849e92b9772b67c561d10834ee16e6fd7e9cb445220dda
size 4086664320

3
Clarus-7B-v0.2.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c8674ede0c0c35fcea35ad9360b0dc18717098fd5e721f3bfcebc79d08ad51a5
size 3806596224

3
Clarus-7B-v0.2.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:991d5a60994554cee13997e5079b2104a2ae4c3e86a88cda01ec56a7b3619039
size 3490573440

3
Clarus-7B-v0.2.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:11fae6339a365ef3495e4668ad22c7742f94bfaf759a17e269bbb691485296c2
size 4681088640

3
Clarus-7B-v0.2.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:586c84a20c4ad1e81a32c205d5dfbc15c2a508bc052bc524d1b672b041148ef7
size 4455784064

3
Clarus-7B-v0.2.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6f042d8d1e08b0c29fb39b307c6a725a565dccd57bd674e12f857d3b2734fac5
size 5442667584

3
Clarus-7B-v0.2.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:26861fbf2493673234a8856c1850292b01a3d0370888b7be1475bbde41652204
size 5313012800

3
Clarus-7B-v0.2.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2830c02265afa68ce11fe92fe2d2723e87f781ee742086a8a2a9fa3a062f3f9a
size 6251845216

3
Clarus-7B-v0.2.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ddd3bcca460d5d17e83170c21d302055a9a3d25b450bef314b87463173759848
size 8095478944

3
Clarus-7B-v0.2.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b8fb6379a4be55bf551571d9ce097c09dabb71e839e5b51ed0c751795d4f25b9
size 15232125664

67
README.md Normal file
View File

@@ -0,0 +1,67 @@
---
base_model: suayptalha/Clarus-7B-v0.2
language:
- en
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/suayptalha/Clarus-7B-v0.2
<!-- 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/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.IQ4_XS.gguf) | IQ4_XS | 4.3 | |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Clarus-7B-v0.2-GGUF/resolve/main/Clarus-7B-v0.2.f16.gguf) | f16 | 15.3 | 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 -->