mradermacher/Quasar-final2-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/Quasar-final2-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-02 18:07:17 +08:00
commit 64e3584cbf
14 changed files with 153 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
Quasar-final2.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.f16.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Quasar-final2.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Quasar-final2.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:31f14bcc3c96bafd91df5e734566386a7121d030edccf4e2608c610140e52e66
size 4250298912

3
Quasar-final2.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7301645ac9e0e0360824bce6d13ba42cbb994f473aeb2012749da311c22da6fd
size 3015940640

3
Quasar-final2.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:99ad448528323f786baa8e956aa851a4155ff5597bed9a281d09f9b04f504983
size 4088459808

3
Quasar-final2.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:957b03973c6c3a69dd622f9623fb2bfacdd1534a379a13e09f97b736709da884
size 3808391712

3
Quasar-final2.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:62089fcaef7058f3d29e375a2186fcd4630c33e9c720a74c2813fc5e8b39a01f
size 3492368928

3
Quasar-final2.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f13b9d6cdabe1822ba17ee4dabaa837aba91b822968d4b8899e6d2e944c06681
size 4683074080

3
Quasar-final2.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a1584207621b219d57dc179801b9a89f7aa4c7625b2cf485c65bda38caf61829
size 4457769504

3
Quasar-final2.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b24c85966c62398972f3761178e1049a0e99ffa9c848504e30d800a01c880f93
size 5444831776

3
Quasar-final2.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:52e11b88ef90271f3cba52db5a3809d20b6b15eee89fb4516db52ee7d4b7e653
size 5315176992

3
Quasar-final2.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:26625bd4f4e4fb68dceca2cb9f6e941d48afada345219e3314f0dc5de0648707
size 6254199328

3
Quasar-final2.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6d2b7ddb142a08a5f7553264b7599e065240a4ace8ccf8da086b0dc9bc303c84
size 8098525728

3
Quasar-final2.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b7967af469876f5e3369ea8e50feaf465fa95bc58ee06ebd15c593ec4a1596b4
size 15237853728

70
README.md Normal file
View File

@@ -0,0 +1,70 @@
---
base_model: eyad-silx/Quasar-final2
datasets: eyad-silx/large-10k
language:
- en
library_name: transformers
model_name: Quasar-final2
quantized_by: mradermacher
tags:
- generated_from_trainer
- open-r1
- trl
- sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/eyad-silx/Quasar-final2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Quasar-final2-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/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Quasar-final2-GGUF/resolve/main/Quasar-final2.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 -->