mradermacher/Actrix-aicrowd-qwen3-vl-8b-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/Actrix-aicrowd-qwen3-vl-8b-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-06 17:09:16 +08:00
commit c5ee341a53
16 changed files with 165 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

49
.gitattributes vendored Normal file
View File

@@ -0,0 +1,49 @@
*.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
Actrix-aicrowd-qwen3-vl-8b.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.f16.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Actrix-aicrowd-qwen3-vl-8b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Actrix-aicrowd-qwen3-vl-8b.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1c503ee7774eaf4f462e1bf94c5b9638107564bbd78fa6639e1f326f0206a802
size 4593298176

3
Actrix-aicrowd-qwen3-vl-8b.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:21adcdd48c6a200ecae796acee1a5d6ac54a92c6ea0bdff5d8870306d3c6c8a9
size 3281734400

3
Actrix-aicrowd-qwen3-vl-8b.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4ae8611ed53afa97b06e341cfbe47ec720080e04c64cf402639a2c26a48ca352
size 4431395584

3
Actrix-aicrowd-qwen3-vl-8b.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a5c0aaf77e0bf2f66e5f6ddc6e35418c85671062979b317aab315781ae4fba9c
size 4124162816

3
Actrix-aicrowd-qwen3-vl-8b.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6f524e3814de4724a5f4e71d3231cbdd247e8e5eedf8ede7f04ec7c55b794e0f
size 3769613056

3
Actrix-aicrowd-qwen3-vl-8b.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:207e3f7ec9e5fe5c955360d25730de49f312fb8dd2373e8a862eb517136647f5
size 5027785472

3
Actrix-aicrowd-qwen3-vl-8b.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28af8b6a940eb7b78bcb869182e40c29f50e5e1c6de3dd8af15a467247855788
size 4802013952

3
Actrix-aicrowd-qwen3-vl-8b.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b393ce3770acfcda6bc1b4d44397ed3232188e53ad44c2310f890ec3a38de94a
size 5851114240

3
Actrix-aicrowd-qwen3-vl-8b.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f6c89bc61fa948211105848d7ec7ae19edb0c199869f2d614c900ceca190d127
size 5720763136

3
Actrix-aicrowd-qwen3-vl-8b.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa4ed860119730c11fed840f78a07eec0aec5d12415fb8ac48f98f3e3d9d8d57
size 6725901056

3
Actrix-aicrowd-qwen3-vl-8b.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a40a61df9736e01a9b1066eaaeaaa743f6e061325a1ce8e5ec2cc7eb45e2df15
size 8709520128

3
Actrix-aicrowd-qwen3-vl-8b.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:12a324788b1f22c8987be9a96e804dd726270d03a557e6fd148f46b5b01fe30b
size 16388045568

3
Actrix-aicrowd-qwen3-vl-8b.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:77d5b830255167107ca0446c2c57772241a26d4c99990cff361a4dfbe1d8bdff
size 752289952

3
Actrix-aicrowd-qwen3-vl-8b.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:efabd3a417ec89a00173a453c62bcf890e1b562d0b2b8cdc34ae535f5f7b071e
size 1159030048

74
README.md Normal file
View File

@@ -0,0 +1,74 @@
---
base_model: Ethan33X/Actrix-aicrowd-qwen3-vl-8b
language:
- en
library_name: transformers
license: apache-2.0
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/Ethan33X/Actrix-aicrowd-qwen3-vl-8b
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Actrix-aicrowd-qwen3-vl-8b-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/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q2_K.gguf) | Q2_K | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q3_K_S.gguf) | Q3_K_S | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Actrix-aicrowd-qwen3-vl-8b-GGUF/resolve/main/Actrix-aicrowd-qwen3-vl-8b.f16.gguf) | f16 | 16.5 | 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 -->