mradermacher/IndoWebGen-7B-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/IndoWebGen-7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-30 15:33:25 +08:00
commit c32eedae1f
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
IndoWebGen-7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.f16.gguf filter=lfs diff=lfs merge=lfs -text
IndoWebGen-7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
IndoWebGen-7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2969c4c549fd31eeba4b61e558b4b74ac00146dfd99c405479b9a65aeb0f873c
size 3647606432

3
IndoWebGen-7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a49c4ab5bfeafb10b9847ad05757ae858228fc7245b8062323cdbd6b09a19865
size 2532940448

3
IndoWebGen-7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:763271a30e47c93b8de76af0f3df6c4a91dbad84e38abdc60ae8593a8211bb06
size 3597194400

3
IndoWebGen-7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cd6c840232762c019a9fa5b1ae0086d3d15c6c1720862d702801b8fe6ba8db88
size 3298088096

3
IndoWebGen-7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4c1851cf0657aa73e84a7d7dd07c285b3002142283b99b53f30d6ea4f1688dcc
size 2948388000

3
IndoWebGen-7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:678309bf12c588d1c51c781d94f2eee31f766ac9c923e9a6e448c3bac7d29d9a
size 4081096352

3
IndoWebGen-7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e7e3954efea0560669fd10fde669e35dda6a03106c2bf030d242242a9c49a683
size 3856832160

3
IndoWebGen-7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:878515b7c50daea1fcc0ab95cb6739a4eae6d7eed28ac715fdccd9420fc3fd5e
size 4783257248

3
IndoWebGen-7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b190f4c17f5675c4fea5c4420161d3911e95bd39ae8061a17408b39e8dd68044
size 4651792032

3
IndoWebGen-7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b3087cd28d032c017c348778553da089255d71b59f4311f9c80dabcb7836c5ad
size 5529303200

3
IndoWebGen-7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:001016292eff0faa290bf9d39486411111602022883b9650c431ee2f43166835
size 7161230496

3
IndoWebGen-7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2432e6335a277cc9e7b76ebdeef618bcea1a684eb3ac4525d683f3eb3ebb74db
size 13478368416

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: alxxtexxr/IndoWebGen-7B
datasets:
- alxxtexxr/indowebgen-dataset
language:
- id
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/alxxtexxr/IndoWebGen-7B
<!-- 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/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q2_K.gguf) | Q2_K | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q3_K_L.gguf) | Q3_K_L | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.IQ4_XS.gguf) | IQ4_XS | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q5_K_M.gguf) | Q5_K_M | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/IndoWebGen-7B-GGUF/resolve/main/IndoWebGen-7B.f16.gguf) | f16 | 13.6 | 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 -->