mradermacher/CodeV-QC-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/CodeV-QC-7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-21 19:19:04 +08:00
commit 7682ceda5d
14 changed files with 158 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
CodeV-QC-7B.f16.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
CodeV-QC-7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
CodeV-QC-7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1f61dd3e28f9751653f1bb9aaa0729016705fea01973b82d6ab699fe1d8e4927
size 4250298784

3
CodeV-QC-7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5c4948f34e2712ba0cda0174ea69d06ba8a594195ac741b4dab521dfdb8b1dbf
size 3015940512

3
CodeV-QC-7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:af7f155b4eb3095257843a4ac8d17b36d1573c5916581686e81b868021fe96db
size 4088459680

3
CodeV-QC-7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f9cce86fa60889988663e7a156b6eae93731f877025d6118b3ee291de0a57021
size 3808391584

3
CodeV-QC-7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8aa316fc622d7be49fc9e6309ec1ef037358c8770e5ea54db8e94c19a11a9535
size 3492368800

3
CodeV-QC-7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ae6603c5a38140179bdd20a3dc19f1f8f9cb3118b21ebee556492a823ac2713e
size 4683073952

3
CodeV-QC-7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:84a6bebd52c9a1c6ac1a62f51fc60faa970e2480fe15dacfa5946462ca1303e9
size 4457769376

3
CodeV-QC-7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d4591116077751c263af878cf1302564d91c24d8023d9080c60eda48c8b7c04
size 5444831648

3
CodeV-QC-7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f1b25216433115ca577ef432be9058b5de261d78849ae6582d9a4adedd8b653d
size 5315176864

3
CodeV-QC-7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a0b1a57013c33060b2559be9a2fafd4e3050ead84b5fb6b069e2edf10a4b1099
size 6254199200

3
CodeV-QC-7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:71f1218886411e9c62501854ad52115fa1215c99b291fb7f1432a43defec52bf
size 8098525600

3
CodeV-QC-7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0c3573537f4ad0c9d6124c6d8707ecd1a40bc145c87a11a9de701186bbeb99cd
size 15237853600

75
README.md Normal file
View File

@@ -0,0 +1,75 @@
---
arxiv: 2407.10424
base_model: yang-z/CodeV-QC-7B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- code
---
## 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/yang-z/CodeV-QC-7B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#CodeV-QC-7B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/CodeV-QC-7B-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/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/CodeV-QC-7B-GGUF/resolve/main/CodeV-QC-7B.f16.gguf) | f16 | 15.3 | 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 -->