mradermacher/CODA-4B-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/CODA-4B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-08 11:20:08 +08:00
commit e21779c826
14 changed files with 154 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
CODA-4B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
CODA-4B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
CODA-4B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:180fff6cb26155dcc8a8f9d3b2bb304b16ce6be77fec8dd1b9ba9822f1947e0d
size 2492949376

3
CODA-4B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:55b4de59eb24c07abc2dcf55a4e69371dd5df4409abaaddf9757594fca9e6c1f
size 1797126016

3
CODA-4B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fd1a52c89df1ff0e4a4747f28e5ae76cd3b4bcade43a2f2ba39c0cdcc9fdacc9
size 2406915456

3
CODA-4B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:30a8ac45f8a363cb6608c841f8fd3b8ba63a00a15d49b615cc388c6552d0fe5e
size 2242747776

3
CODA-4B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c8fe2a6adc0ede7c59148d4352f736668d52cbe89b43923e783ac5acd225816d
size 2054126976

3
CODA-4B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:63162a1d1cac53ea79580b455c778fb8a5abdc2acb8eecdf7efca4398f20885e
size 2716068736

3
CODA-4B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5b51396662b6b59b09376577eaa587ca271b3ecc9540f1a02f1fff3fff964906
size 2602097536

3
CODA-4B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4034946dc76ad9d8672d490df53072bfe1cb291148f77b813e68ef3b8d35c1cf
size 3156921216

3
CODA-4B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b98a5c7983ca82b5241dcdda4711d535c350ac1a3eccd97023bf1d6176ab0f72
size 3091118976

3
CODA-4B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fd509d923325bcdfa7a4e0ff6edc43aa4ced0f76c51398e1d6a4c5e620712f76
size 3625326976

3
CODA-4B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5442674eabd50eb314c37420a73d3a2ec0d4aab3d87502ef1bd880b7612805f0
size 4693671296

3
CODA-4B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ed30a896c2a1df895318669bcf86eb6205a913dded1ceb3b2f2f8e8e69863392
size 8829197696

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: Siye01/CODA-4B
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## 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/Siye01/CODA-4B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CODA-4B-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/CODA-4B-GGUF/resolve/main/CODA-4B.Q2_K.gguf) | Q2_K | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q3_K_S.gguf) | Q3_K_S | 2.2 | |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q3_K_M.gguf) | Q3_K_M | 2.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q3_K_L.gguf) | Q3_K_L | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.IQ4_XS.gguf) | IQ4_XS | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q4_K_M.gguf) | Q4_K_M | 2.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q5_K_S.gguf) | Q5_K_S | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q5_K_M.gguf) | Q5_K_M | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q6_K.gguf) | Q6_K | 3.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.Q8_0.gguf) | Q8_0 | 4.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/CODA-4B-GGUF/resolve/main/CODA-4B.f16.gguf) | f16 | 8.9 | 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 -->