mradermacher/Q38B-all-images-fully-trained-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/Q38B-all-images-fully-trained-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-15 07:11:09 +08:00
commit 51cc9b205a
16 changed files with 169 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

48
.gitattributes vendored Normal file
View File

@@ -0,0 +1,48 @@
*.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
Q38B-all-images-fully-trained.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.f16.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Q38B-all-images-fully-trained.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Q38B-all-images-fully-trained.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:00dea069b2d721e12787bfad5bbee737c9f7a9f1a1f086df32df98349a0356c4
size 4593298400

3
Q38B-all-images-fully-trained.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0f6af4ab7f3968fdfc8f2b23b89a50f51dce9d20cfae2a0bcb6dbd356bb9bd50
size 3281734624

3
Q38B-all-images-fully-trained.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:15a0cf45e063bbe62a54ca4aa2291e3974e11332f05c458309d96716916a880b
size 4431395808

3
Q38B-all-images-fully-trained.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4171093c1cf0934ba8a7c7209fcb20d710e4ff1031271dac84a01c0e2ec50752
size 4124163040

3
Q38B-all-images-fully-trained.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c4ddd12e13d44b82c2c6d2056a243285724def771a2db08af93dbe4c08dc327c
size 3769613280

3
Q38B-all-images-fully-trained.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8537bb2f1050e201dd78275aedaa3807d32de3e29053e4ec528ec0567efe22f5
size 5027785696

3
Q38B-all-images-fully-trained.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:96158d00bb01bd6a17dd76e3a20a344038ef940654f7349977c4819231a8c62b
size 4802014176

3
Q38B-all-images-fully-trained.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a83d4d12d1a17ea43a70dc1130fb8e08e4814255c90fba9114890ca383877d9c
size 5851114464

3
Q38B-all-images-fully-trained.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a45ae489bbd8fc49bda527531893d5f54d4d45d08db4e68e96e11e8fd9b55daf
size 5720763360

3
Q38B-all-images-fully-trained.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c458515beaa3358a38f4fa887a753f2683db3ba80d94bf3af59359a295a54a3f
size 6725901280

3
Q38B-all-images-fully-trained.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7d3cb9239876a32ad3905c488f3179546e6b4dec2778722a666c9daf985a9920
size 8709520352

3
Q38B-all-images-fully-trained.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:eab3dcbb40df45b3b7da0db68238b3c654cd84a5e7a389afee6f90632d6182c2
size 16388045792

3
Q38B-all-images-fully-trained.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7186b876a6a787b58f083fe5a6d0b9d5071ac101332e2d3432181540ea2959ac
size 752290144

3
Q38B-all-images-fully-trained.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:19ac9c4da68da2ac21ddf870520d006534efaba6b63b7e25ab5a868da61ae9fa
size 1159030240

79
README.md Normal file
View File

@@ -0,0 +1,79 @@
---
base_model: arafid/Q38B-all-images-fully-trained
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3_vl
---
## 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/arafid/Q38B-all-images-fully-trained
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Q38B-all-images-fully-trained-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/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q2_K.gguf) | Q2_K | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q3_K_S.gguf) | Q3_K_S | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Q38B-all-images-fully-trained-GGUF/resolve/main/Q38B-all-images-fully-trained.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 -->