mradermacher/LonAI_20250122-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/LonAI_20250122-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-30 01:48:17 +08:00
commit 79bb182568
14 changed files with 149 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
LonAI_20250122.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.f16.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LonAI_20250122.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
LonAI_20250122.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:42ba2d09f989869c7fffee6582c95b80d17bc178abb85dd8d889d351276a9d16
size 4484374464

3
LonAI_20250122.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db9fd9208476d064f18e469e9fb4c3533aa43eaac1f3032e0f99fc913613b69f
size 3179141440

3
LonAI_20250122.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c0e0053355b7e1cc5810e8257c07c61af1f427772597446ce9085380264493a8
size 4321967232

3
LonAI_20250122.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3b8666eef8db61f78bc8aff47f038fe9c5be6956368aea62b3c87c76626c98dd
size 4018928768

3
LonAI_20250122.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:17225f493dd2935c88ab111fb807279d0fbe4bec9a45aa807de18a49524f1da3
size 3664510080

3
LonAI_20250122.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:297b4c82920a44c8094affce14b529c68218ec52737010b7ee5550af0da54a78
size 4920746176

3
LonAI_20250122.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ea4fb46fa0fe73174c8c8417838c143303b1ae247d08188c7059afcc1360909
size 4692680896

3
LonAI_20250122.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4abcb87fe802306bb1a5e6f233f91f10e529b3cf739f9a3f8c9235aa62b7aa79
size 5733000384

3
LonAI_20250122.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:88955922c463ac04b35fe0e39b6f7aa91c7972facd8d19f5260c1097ecf61bdc
size 5599306944

3
LonAI_20250122.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:abd580219f1ffbb9cc41ced4e9a1a1faa269ce98c85c12f9954244a95d01f230
size 6596020480

3
LonAI_20250122.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:12d12250deb646512617c326fdfe5af9e0391dbfed05aa99f18a2afc1e4cc9a1
size 8540788864

3
LonAI_20250122.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5f8e1a44bc8be622f39bdc96d9140b1c71b8003a1abdd6628d71a879418439b3
size 16068924544

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: munachi02/LonAI_20250122
language:
- en
library_name: transformers
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/munachi02/LonAI_20250122
<!-- 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/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LonAI_20250122-GGUF/resolve/main/LonAI_20250122.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 -->