mradermacher/dqncode1new-16bit-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/dqncode1new-16bit-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-27 18:20:34 +08:00
commit 78ebec00eb
14 changed files with 160 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
dqncode1new-16bit.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
dqncode1new-16bit.f16.gguf filter=lfs diff=lfs merge=lfs -text

77
README.md Normal file
View File

@@ -0,0 +1,77 @@
---
base_model: DQN-Labs/dqncode1new-16bit
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3
---
## 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/DQN-Labs/dqncode1new-16bit
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#dqncode1new-16bit-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/dqncode1new-16bit-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/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/dqncode1new-16bit-GGUF/resolve/main/dqncode1new-16bit.f16.gguf) | f16 | 8.2 | 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 -->

3
dqncode1new-16bit.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2be6ac23610e0bb53659a08c95529f9ce3632f4d2ad316ec95fab72d7d12e6da
size 2286316704

3
dqncode1new-16bit.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c2779015f7a61c49ce4b250740fb3dc73b65454c31e98c861847000334ac561f
size 1669500064

3
dqncode1new-16bit.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:05ff990727c242fbb871ace816bceb92a3e989f0daafbfd1f40fe60ea51283b4
size 2239786144

3
dqncode1new-16bit.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:82e8fa546090b5582e28c6b52187b9fa79f06adcafa1f6d671282c2ed4ab290a
size 2075618464

3
dqncode1new-16bit.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2867accf3a0f51fd6390659251712dcaa0c6770c0b0ac253fa2b568fe1dc39e8
size 1886997664

3
dqncode1new-16bit.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b8a0492165fdfdefa549f408cc993995ed1d0d13cc90fd7cf01223f7f12952ea
size 2497281184

3
dqncode1new-16bit.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:84cb0cbb07aa6a4415df6f1b7283cfe31df503fabc4282fc20e019e018b4210d
size 2383309984

3
dqncode1new-16bit.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6dec1af9bb184555d18788c3c19dc9f222bd11391232edef133efdd4fc92dfc5
size 2889514144

3
dqncode1new-16bit.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:295f0075d16c7f18f4dd942631a7f16298adcad4e595e253823ecdcd6b68a02d
size 2823711904

3
dqncode1new-16bit.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:40933f02144c52f65613dbef3a8fa549cbade56cdf92222f76d59f9c0f1311f2
size 3306261664

3
dqncode1new-16bit.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4d682e9117c4eb20620fb61a7ff599cd939c32ace92667aafdc912ac288bdafc
size 4280405664

3
dqncode1new-16bit.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bc78c11f93f92cbe5f4de9ef6cbfb5e1d0743c327afac0b80f0d5140615de773
size 8051285664