mradermacher/VGPO-RL-32B-i1-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/VGPO-RL-32B-i1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-20 10:24:10 +08:00
commit 42dc34c7d6
26 changed files with 224 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

59
.gitattributes vendored Normal file
View File

@@ -0,0 +1,59 @@
*.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
VGPO-RL-32B.imatrix.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
VGPO-RL-32B.i1-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text

93
README.md Normal file
View File

@@ -0,0 +1,93 @@
---
base_model: MuMing0102/VGPO-RL-32B
datasets:
- PAPOGalaxy/PAPO_ViRL39K_train
language:
- en
library_name: transformers
license: mit
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- VGPO
- Reinforcement learning
- Multimodal Reasoning
- Visual Attention Compensation
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/MuMing0102/VGPO-RL-32B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#VGPO-RL-32B-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/VGPO-RL-32B-GGUF
**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/VGPO-RL-32B-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/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ1_S.gguf) | i1-IQ1_S | 7.4 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ1_M.gguf) | i1-IQ1_M | 8.0 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.1 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.1 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ2_M.gguf) | i1-IQ2_M | 11.4 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 11.6 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.8 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.5 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ3_S.gguf) | i1-IQ3_S | 14.5 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ3_M.gguf) | i1-IQ3_M | 14.9 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.0 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.3 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.8 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q4_0.gguf) | i1-Q4_0 | 18.8 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 20.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q4_1.gguf) | i1-Q4_1 | 20.7 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.7 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.4 | |
| [GGUF](https://huggingface.co/mradermacher/VGPO-RL-32B-i1-GGUF/resolve/main/VGPO-RL-32B.i1-Q6_K.gguf) | i1-Q6_K | 27.0 | practically like static Q6_K |
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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
<!-- end -->

3
VGPO-RL-32B.i1-IQ1_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:93fd3c3b0d242aa043938afdcca342d121aff9d359fdc2916d2aad854beaf51f
size 7932160000

3
VGPO-RL-32B.i1-IQ1_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7353f70d7031e24a732ffcb5b4564a5d120ca7eaa0d5a4e8fe731c88a98f4982
size 7274506240

3
VGPO-RL-32B.i1-IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b4375e577786265ce679a8d7db32cf42d21ac2e68f392b777fdadc120e8e25ca
size 11264440320

3
VGPO-RL-32B.i1-IQ2_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:55822e22a5f9ae0fa52bbb08e8ad3217b9c48acd5692a01d7c913be7acf3ba17
size 10387568640

3
VGPO-RL-32B.i1-IQ2_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:57dadcb0c12c552faaff64da9698eba4b839da738e803a29eb00d97e470bfadc
size 9957550080

3
VGPO-RL-32B.i1-IQ2_XXS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4cc6283ae17365e25219067bcc469bd8bbcc03ef6dd3ea43ed4fc70aa1729ea9
size 9028249600

3
VGPO-RL-32B.i1-IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:46e2636f6bebe1761a76d8c41aee3d96e6779c405dceea6af79ad4604cc60230
size 14810122240

3
VGPO-RL-32B.i1-IQ3_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5cbcfedd42b55486890a9520c70c9dff50c2ab9d15e465960b7288d779f3d0cb
size 14436894720

3
VGPO-RL-32B.i1-IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:906681de4b9e897788b1de1b8ef11b0a5b1e8f0e80829928c4ce5df9eeb53f6c
size 13705512960

3
VGPO-RL-32B.i1-IQ3_XXS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:887917449eae06044aab491f50581a848cf03c94c8c2d476b248e2018a017b92
size 12839270400

3
VGPO-RL-32B.i1-IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:75cb34410fa8fa41ca8c1fca4b5c9eeb8398f8d6ccbfe8647397cd198a7d5a93
size 17693153280

3
VGPO-RL-32B.i1-Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5df5ff0deff5789ee4a8d82389c4f4fb6c6906abbe45de227fee5d031763fdd8
size 12313098240

3
VGPO-RL-32B.i1-Q2_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:de7c014355d904a45f01370d381b5fb2fd8f3640dacaa44848b03cb42a4619e3
size 11488000000

3
VGPO-RL-32B.i1-Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:78cbea28c995771341cf0b43c6159bd76c20d54c488ebc20176bfe3d0f175f9b
size 17247078400

3
VGPO-RL-32B.i1-Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9c27302b9111387bdb3ba217146af036b472340d5cfbe4cf278e5795d2ab3c07
size 15935047680

3
VGPO-RL-32B.i1-Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c6397c33c59380e03a35c3ca8dc502b957184a1eb7cf49782c4782961f588c9d
size 14392330240

3
VGPO-RL-32B.i1-Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:42abba83e1d2f1fdd8f3bd90f75396bf98959955fb2ffdc5e9b73c2b384fc6f2
size 18711009280

3
VGPO-RL-32B.i1-Q4_1.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28ec352856e24778233d9553a826ae973ceb21a82f69dfbf6b7c14808aae73a9
size 20639242240

3
VGPO-RL-32B.i1-Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e2f11c4aa3cfb9bc831419e0b7036b96fa2714adacf91dcb0e66ff17d38d331b
size 19851335680

3
VGPO-RL-32B.i1-Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:12c98ddd47cb91889539fd9a5dd9d6993855a9a9aa6f434e533b31a851afd835
size 18784409600

3
VGPO-RL-32B.i1-Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b7786d418aed5ef2b20003f5087b92160143cafc2d16fe7f19cdbec7d563a3a0
size 23262156800

3
VGPO-RL-32B.i1-Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:917f9b12a479fe980b8d802ff74e55356018adba3244eec776e84e3f3b9d8b8a
size 22638254080

3
VGPO-RL-32B.i1-Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fb4534f0587d9e90bbedea2ce95afe4d5cf4d27915fb6cdbe39365ec57275076
size 26886154240

3
VGPO-RL-32B.imatrix.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:37a2cbd3ed690b7fddbe1d718b1248adc776f388a79a94e8c97c760e16d0d74c
size 15011072