mradermacher/LIRAD-1.3B-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/LIRAD-1.3B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-07 02:20:16 +08:00
commit 0fdffe5904
14 changed files with 152 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
LIRAD-1.3B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LIRAD-1.3B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
LIRAD-1.3B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8cdbdbfd80dcb35673a1933b80c62b5e6bc94602973aa1278440719648ac1b11
size 750721216

3
LIRAD-1.3B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:82da4bcf44860267188df1bf018dd28ba5bce366582bc79f2c777ae0c9503e7c
size 559716544

3
LIRAD-1.3B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:704837c1b015a7dc393cf1319d3a163be37deda7e08e2c1f46edfb0c41793467
size 744454336

3
LIRAD-1.3B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fe40bf7e3747e8cbb388c261240d87a4cf105e4a2b1518f1e0017bda14a550fc
size 704133312

3
LIRAD-1.3B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ed2a7f606bde5c5d3fb0568a58c44fad32d695c25fa5c3763adab98cc0b663c6
size 641824960

3
LIRAD-1.3B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:726450adce796f3c7d3ed52b6de15d832c05ec7cdbe8012d6370a1ee7ec24a9e
size 873453760

3
LIRAD-1.3B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:adc60e201c733d6e41bf765304d5db75636646cd740aa588a3146cdbdab430ef
size 813963456

3
LIRAD-1.3B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4a97e52e538aff2c3cf29f436d810bde78d6a196a3249c4704bdc06fc32e36d6
size 1001838784

3
LIRAD-1.3B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b13447e17faba14373149cbc7e72c6f2ad3586e1d9d356bb4d23d02ad37c0b5c
size 952883392

3
LIRAD-1.3B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:219e4487c4fac8c40eb9592e0c5a632c20ffb106ee80a990bc170ddcb7be2aab
size 1171536064

3
LIRAD-1.3B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:15081a3e1651eeeedbde904874878dfe005c6d69750fa02740e64eab0d8a5c57
size 1432090816

3
LIRAD-1.3B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c143fb54703b4bce83ec76252b7042282db47d41565e6d0ee22c68cfef02ee33
size 2694314176

69
README.md Normal file
View File

@@ -0,0 +1,69 @@
---
base_model: xunge/DecIR-1.3B
language:
- en
library_name: transformers
license: mit
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/xunge/DecIR-1.3B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LIRAD-1.3B-GGUF).***
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/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q2_K.gguf) | Q2_K | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q3_K_S.gguf) | Q3_K_S | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q3_K_L.gguf) | Q3_K_L | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.IQ4_XS.gguf) | IQ4_XS | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q4_K_M.gguf) | Q4_K_M | 1.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q5_K_S.gguf) | Q5_K_S | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q5_K_M.gguf) | Q5_K_M | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q6_K.gguf) | Q6_K | 1.3 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.Q8_0.gguf) | Q8_0 | 1.5 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LIRAD-1.3B-GGUF/resolve/main/LIRAD-1.3B.f16.gguf) | f16 | 2.8 | 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 -->