mradermacher/DeeezNuts4Ya33-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/DeeezNuts4Ya33-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-26 02:42:16 +08:00
commit 3974dd45e6
14 changed files with 147 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
DeeezNuts4Ya33.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.f16.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
DeeezNuts4Ya33.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
DeeezNuts4Ya33.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:92d4cb349af66dfcd209e9b9b1b6559a03d5adabb4c20740c5ca6e3038c53ce2
size 4327081600

3
DeeezNuts4Ya33.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f2ad648e02756795e15269103acd882360524ba76daf7785091fc2b63f2ec3a7
size 3090368128

3
DeeezNuts4Ya33.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fd7251101150923562854f677206c772c4c579519b1a162131bccde25bfdbf73
size 4171755136

3
DeeezNuts4Ya33.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aee9ec3fe81a516e4e9a6e9bb17b1e623d35de2c1270eaeef55dda88494436ef
size 3880382080

3
DeeezNuts4Ya33.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fb113a0b05bd2a6eac910280a986b4974c925bb79932606e705b7575bf7e1be4
size 3551029888

3
DeeezNuts4Ya33.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e84527f2aae7c4b29fd27c61906581574afba6d05a5644674954573e47967f27
size 4736368768

3
DeeezNuts4Ya33.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8906ddab95d49a0023a2dbec12b265bc3886f24c9fe0f13deafa23c71b051775
size 4524598912

3
DeeezNuts4Ya33.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b74e6f7cf607f0ea992b58e12d23a14d35308aec5ff25be1dce58ba2e6ae159f
size 5510881408

3
DeeezNuts4Ya33.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b3c376f65f4a1e95e0281426065ffc06377546f0ee26e407b25cbda38bf88c6a
size 5387658880

3
DeeezNuts4Ya33.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:387e327dbfa2f57015756df9017eecc673aef1055dee1ac04dd5100852801386
size 6333801088

3
DeeezNuts4Ya33.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7843d6dbb90d9ba88f11dc75f01f1feb5f0147cc393024393f707b9db6019a2d
size 8202252928

3
DeeezNuts4Ya33.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a389ddb3aad028a61fe103c1c367b1b05beee586d41478582aed278adc949a03
size 15434969728

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: Primeness/DeeezNuts4Ya33
language:
- en
library_name: transformers
quantized_by: mradermacher
tags: []
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Primeness/DeeezNuts4Ya33
<!-- 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/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q2_K.gguf) | Q2_K | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q3_K_S.gguf) | Q3_K_S | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q3_K_M.gguf) | Q3_K_M | 4.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q3_K_L.gguf) | Q3_K_L | 4.3 | |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q5_K_S.gguf) | Q5_K_S | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q5_K_M.gguf) | Q5_K_M | 5.6 | |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.Q8_0.gguf) | Q8_0 | 8.3 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/DeeezNuts4Ya33-GGUF/resolve/main/DeeezNuts4Ya33.f16.gguf) | f16 | 15.5 | 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 -->