mradermacher/Evertide-RX-12B-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/Evertide-RX-12B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-23 21:22:18 +08:00
commit 8a9b225370
13 changed files with 165 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

46
.gitattributes vendored Normal file
View File

@@ -0,0 +1,46 @@
*.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
Evertide-RX-12B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Evertide-RX-12B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text

3
Evertide-RX-12B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e54b55f212e814a36a46e375bb339f2dd1ff55c939aa888e395918cc1452b47a
size 6800054016

3
Evertide-RX-12B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1ce87ecb828b3b77a65b56124230ebda8487114b3f4da141c7bdf1734c5459cf
size 4791047936

3
Evertide-RX-12B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aaed5347080086634026edd5c90e4cdc3847b3fd216b27732a7bbc42f1f60cf0
size 6561502976

3
Evertide-RX-12B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e7399baef84fcf66320896755c3865c9ff9db71c905cf5c372fa128b3ee56e92
size 6083090176

3
Evertide-RX-12B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6999a16efbda3489e95ccf6bb45458851891e61cb04166a47b4de10c372150f8
size 5534226176

3
Evertide-RX-12B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6b38a7c71530f7479a010965bd9d6a6d397afddbaa7ad3d1cf52aa0ce588b7ad
size 7477204736

3
Evertide-RX-12B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2a524bd2369de4af89c41f4cd5050b363705e173452b2a59edf792be211ff30c
size 7120197376

3
Evertide-RX-12B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b74570ccfc86858ecc8bf8663ee8c151eb12c4c10cbdb41d0df6d5c1fd649ce5
size 8727631616

3
Evertide-RX-12B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:468d04b10c172b00b1ea92ca76481cbd7009198775602f05b1584010b4b389db
size 8518735616

3
Evertide-RX-12B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f4c1ba19e381f4cf31f45d265259a3dabdca93fc3fd7146937d921681a377d4e
size 10056210176

3
Evertide-RX-12B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c29dbce9213d3a68dd327c5afcfdad1082e457d121bd5d5dbca86a9e386f89fe
size 13022369536

86
README.md Normal file
View File

@@ -0,0 +1,86 @@
---
base_model: Retreatcost/Evertide-RX-12B
language:
- en
- fr
- de
- es
- it
- pt
- ru
- zh
- ja
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
- trl
- conversational
- finetune
- general-purpose
---
## 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/Retreatcost/Evertide-RX-12B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Evertide-RX-12B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Evertide-RX-12B-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/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q2_K.gguf) | Q2_K | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q3_K_S.gguf) | Q3_K_S | 5.6 | |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q3_K_L.gguf) | Q3_K_L | 6.7 | |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.IQ4_XS.gguf) | IQ4_XS | 6.9 | |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q5_K_S.gguf) | Q5_K_S | 8.6 | |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q5_K_M.gguf) | Q5_K_M | 8.8 | |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q6_K.gguf) | Q6_K | 10.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Evertide-RX-12B-GGUF/resolve/main/Evertide-RX-12B.Q8_0.gguf) | Q8_0 | 13.1 | fast, best quality |
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 -->