mradermacher/Piranha-12B-v1a-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/Piranha-12B-v1a-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-14 02:17:09 +08:00
commit f07945118c
13 changed files with 155 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
Piranha-12B-v1a.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Piranha-12B-v1a.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text

3
Piranha-12B-v1a.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c0e55d3865f76a97a7285aa1163de55a5d878cc03f96ba0d58d70bda5f88ec42
size 6800058560

3
Piranha-12B-v1a.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:df776174debe654dc81269f655cf9d9258f88a6cdc9397a9bb30daa0a6dd55c7
size 4791052480

3
Piranha-12B-v1a.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4bd42236067440c2178dd4bfcd736a11b141bd88f73ae0fd9b5cabcc6746f488
size 6561507520

3
Piranha-12B-v1a.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e19f1afe4b8bbb22a77c95b94721fe8eb04fc2714e117c7d0b4254972abe6cfd
size 6083094720

3
Piranha-12B-v1a.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:095b1d9761da65f0b08974fa1edf37b41c622816b4f22b44e92c856acf9c7b95
size 5534230720

3
Piranha-12B-v1a.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f3d9db86b2a4f018054334bc35c0ef949fcf07e9b4e6330b5fad88737cff2860
size 7477209280

3
Piranha-12B-v1a.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2c444bdf2dffadbd925356bd46b62130bae7ab5223bb7bf9b2588c07b817d154
size 7120201920

3
Piranha-12B-v1a.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6d84f14a381f482d174261dc3515de01536328ea9fd41bfcf727247c16686ac2
size 8727636160

3
Piranha-12B-v1a.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8278317f697f65bd6ce0bf4e562a80bc7c0ce4547c3bbb6f5419daf472cb0e54
size 8518740160

3
Piranha-12B-v1a.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1de23a737962947bd485791e8b55ed6b65d1f778565dfd881be95bc9f42b5aa9
size 10056214720

3
Piranha-12B-v1a.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7e36c01c9d1dffc4f5b8c6a8217d73e5d408800808734920b847040e3d9c8e4d
size 13022374080

76
README.md Normal file
View File

@@ -0,0 +1,76 @@
---
base_model: Naphula-Archives/Piranha-12B-v1a
language: eng
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
- mistral
- nemo
- karcher_stock
---
## 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/Naphula-Archives/Piranha-12B-v1a
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Piranha-12B-v1a-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Piranha-12B-v1a-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/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q2_K.gguf) | Q2_K | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q3_K_S.gguf) | Q3_K_S | 5.6 | |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q3_K_L.gguf) | Q3_K_L | 6.7 | |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.IQ4_XS.gguf) | IQ4_XS | 6.9 | |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q5_K_S.gguf) | Q5_K_S | 8.6 | |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q5_K_M.gguf) | Q5_K_M | 8.8 | |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.Q6_K.gguf) | Q6_K | 10.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Piranha-12B-v1a-GGUF/resolve/main/Piranha-12B-v1a.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 -->