mradermacher/VLM-1-K1-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/VLM-1-K1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-08 01:07:51 +08:00
commit 62f70a74ec
14 changed files with 149 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
VLM-1-K1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
VLM-1-K1.f16.gguf filter=lfs diff=lfs merge=lfs -text

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: VortexIntelligence/VLM-1-K1
datasets:
- tatsu-lab/alpaca
language:
- en
library_name: transformers
license: mit
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/VortexIntelligence/VLM-1-K1
<!-- 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/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q2_K.gguf) | Q2_K | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q3_K_S.gguf) | Q3_K_S | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.IQ4_XS.gguf) | IQ4_XS | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q3_K_L.gguf) | Q3_K_L | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q5_K_S.gguf) | Q5_K_S | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q5_K_M.gguf) | Q5_K_M | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q6_K.gguf) | Q6_K | 0.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.Q8_0.gguf) | Q8_0 | 0.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/VLM-1-K1-GGUF/resolve/main/VLM-1-K1.f16.gguf) | f16 | 0.4 | 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
VLM-1-K1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f4ad25c9e635a1f28d64036cc56ad6a63aa92b83feee5cc16821f0213259384c
size 82559808

3
VLM-1-K1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5c4c4073f5bf4bc185d85904fa58cf6f18b47ab40233019f8e05bee45794b0ca
size 68533056

3
VLM-1-K1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:462db77f701a4cc87606ca3eb5fbdb9e25b28cf4c3b8cc5c2ed44f3a643f74a5
size 85508928

3
VLM-1-K1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:82c124e15df5f885db595522dcf8e3bb8449cbd9387d8f601f3d113a945686b8
size 81085248

3
VLM-1-K1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a6a7e9ac92dd03d64a889a002bf4a58907c6f9c256b138ae87347c8e565febf9
size 73564992

3
VLM-1-K1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:abf63edc22d4efda0400f1180cfbb6c9aab537041e0f2ab1b7e2d600225869bf
size 91149120

3
VLM-1-K1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c53cc6d08a894632f49eb7642347d9190d2bda4caa8e8babe62b0208fe16ee41
size 85140288

3
VLM-1-K1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3e7f0e9c54afdfd87e8ce7bb4a88e209278a8cb4f5e4aa62e18c578ab6e86dad
size 100162368

3
VLM-1-K1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:39306076f11ff5553c3a8f1b56171256f0245cd5624de8165c21da92e6f69586
size 95462208

3
VLM-1-K1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4d2f4e3233cade50e7daa0f6c910424b2570be00d98c3a73c01dc1b57d917255
size 106742592

3
VLM-1-K1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0e8cdf65a8936f82bac21e3661f01f60a5a599e873d41f0c117c4749316c735b
size 136660672

3
VLM-1-K1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bbc640460b622e8055f776f28993c4376c363ec1d2333082af309b675944d32d
size 252472672