初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/LilMoo-v0.1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-19 15:28:09 +08:00
commit 70fcee20d3
14 changed files with 159 additions and 0 deletions

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
LilMoo-v0.1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LilMoo-v0.1.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
LilMoo-v0.1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e91ca508273bf5ad11e6818f149060973af052b412f565c4748b234f889d03c6
size 381574560

3
LilMoo-v0.1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2d98ff1d9597e54173e68b51d2d09d8e83465aad6e112249619a5dc73e84f900
size 282078624

3
LilMoo-v0.1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2f91d31be1504e250f4a931a5a07d8349f889c1f1d3259731c454421ea29818a
size 378588576

3
LilMoo-v0.1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:591611e76f4fa30440a98a8a424f03349fb0ff0e72e402cfcfa6e997876c5c22
size 350571936

3
LilMoo-v0.1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c162abfb5852d08200380c8354cfcd18d8e00e17f98ca4b586c74a87fdcd8d3e
size 318979488

3
LilMoo-v0.1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0c396b6d472b0632b1dcc88d199f5671ed3007c2acf2a5b91d258390c142fdad
size 419231136

3
LilMoo-v0.1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:452cc1a2edd8cc26f106fa71bfa4a84f8a9237572ea11160fce3e2532b848d23
size 400301472

3
LilMoo-v0.1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dec7e72b4c7a420e639c85e34c46c2b58bc64effc5913bbaec79079f131cda0c
size 483227040

3
LilMoo-v0.1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d2681a01132d978752b8426bb0ab4c96be587ee4be8f93342ce8dd6a71a0375f
size 472260000

3
LilMoo-v0.1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:93a4c3772edae36bc5292eb28a0c633eedb2c75ec54d69a5955b4e5c45821352
size 551222688

3
LilMoo-v0.1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0b38f9612677e4aead4a5fece601fdc8c55f599d19b2ba788687a0de83d336b6
size 713498016

3
LilMoo-v0.1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8f704f89c545bc8e4016a263a2fae25e3614f1e9a3c51cd5276bea877f52a8f9
size 1341660576

76
README.md Normal file
View File

@@ -0,0 +1,76 @@
---
base_model: Polygl0t/LilMoo-v0.1
datasets:
- Polygl0t/gigalekh-v1
language:
- hi
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
---
## 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/Polygl0t/LilMoo-v0.1
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LilMoo-v0.1-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/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q2_K.gguf) | Q2_K | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q3_K_S.gguf) | Q3_K_S | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q3_K_L.gguf) | Q3_K_L | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.IQ4_XS.gguf) | IQ4_XS | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q5_K_S.gguf) | Q5_K_S | 0.6 | |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q5_K_M.gguf) | Q5_K_M | 0.6 | |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q6_K.gguf) | Q6_K | 0.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.Q8_0.gguf) | Q8_0 | 0.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LilMoo-v0.1-GGUF/resolve/main/LilMoo-v0.1.f16.gguf) | f16 | 1.4 | 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 -->