mradermacher/G-COOM-9B-V0.01-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/G-COOM-9B-V0.01-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-01 18:18:16 +08:00
commit 0aaf5c7921
14 changed files with 153 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
G-COOM-9B-V0.01.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
G-COOM-9B-V0.01.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
G-COOM-9B-V0.01.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:06bc887801baf3e9d97dd8bf3800edfde6a9dd11cb2fabf998e3d6fd8b57c738
size 5223171456

3
G-COOM-9B-V0.01.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b040db5f38ba672afbff4747170d0677e35a97555a19cf06780d8150c6959d3a
size 3805398400

3
G-COOM-9B-V0.01.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:195bcd5f0ae3863dfa2312c156ead808d9d832fa795b81086f9787e5146689c8
size 5132453248

3
G-COOM-9B-V0.01.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:280c578166f72bbfd47de48715b22bf5a78615986e32001077f6fdae741d7335
size 4761781632

3
G-COOM-9B-V0.01.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2cff21f3bf00b962d67e69d784a1e471b8b69c080b07ad7871be8a0746b4a71e
size 4337665408

3
G-COOM-9B-V0.01.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a09beb0e26a58acfb9b5dff8710fbb78b26f4d45d66e3cde711d84cd49f06da8
size 5761058176

3
G-COOM-9B-V0.01.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0327f36bf0c5b01747792608cdf0613570c1d4c8c236f115143ae103ef58e5a2
size 5478925696

3
G-COOM-9B-V0.01.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cc11d8b67521642dc5a7ed1958472d448fe3c8c1a089276ae0dbd5bbae6806bc
size 6647367040

3
G-COOM-9B-V0.01.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:57668e1f48000046007374b55cb841dcf9a0f2d724edcc65f8e07289905bee80
size 6483592576

3
G-COOM-9B-V0.01.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:99703ff1d1c803f3dced304ae2c74bdb653ea67c4852471596b5584c13676f9a
size 7589070208

3
G-COOM-9B-V0.01.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:41254eec5aedad0b44f813affaa8670cc6d0bda4ad97e50049f0d75246530a92
size 9827149184

3
G-COOM-9B-V0.01.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5e5b7398772ad8157b18cb712b153f439eba7bbf7361a65e1c15e38a74c644f5
size 18490680704

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: Envoid/G-COOM-9B-V0.01
language:
- en
library_name: transformers
license: cc-by-nc-4.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- not-for-all-audiences
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Envoid/G-COOM-9B-V0.01
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#G-COOM-9B-V0.01-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/G-COOM-9B-V0.01-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/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q2_K.gguf) | Q2_K | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q3_K_S.gguf) | Q3_K_S | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q3_K_L.gguf) | Q3_K_L | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.IQ4_XS.gguf) | IQ4_XS | 5.3 | |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q4_K_S.gguf) | Q4_K_S | 5.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q4_K_M.gguf) | Q4_K_M | 5.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q5_K_S.gguf) | Q5_K_S | 6.6 | |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q5_K_M.gguf) | Q5_K_M | 6.7 | |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/G-COOM-9B-V0.01-GGUF/resolve/main/G-COOM-9B-V0.01.f16.gguf) | f16 | 18.6 | 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 -->