mradermacher/NaviDrive-Qwen3-VL-2B-SFT-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/NaviDrive-Qwen3-VL-2B-SFT-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-16 02:16:17 +08:00
commit 91a10afbf9
16 changed files with 173 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
NaviDrive-Qwen3-VL-2B-SFT.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
NaviDrive-Qwen3-VL-2B-SFT.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
NaviDrive-Qwen3-VL-2B-SFT.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b725b4834e8fb591fb47683f03c212a790b187e5789b7d39206249d51d6d50d9
size 1016283392

3
NaviDrive-Qwen3-VL-2B-SFT.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6df3cbd2fa9ba7dd388d48d2adbea2ba8d2e0d396258cd9cbec37b0cd9090a80
size 777797888

3
NaviDrive-Qwen3-VL-2B-SFT.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:190049a0973a66e29428140370e83450ae582f3cb7870e7265ebd3c46ba73464
size 1003503872

3
NaviDrive-Qwen3-VL-2B-SFT.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:70084baba5ca766963ee0dd391dd2af15876d50e7fc8f5790f12e044201edb2e
size 939540736

3
NaviDrive-Qwen3-VL-2B-SFT.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e54fed6808eb4ffc935167600c342998d1a2544bfcb1ddcc9bbb1105e7c5100a
size 867254528

3
NaviDrive-Qwen3-VL-2B-SFT.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d46bf8fa1b1c382bcd86362ed8888ad60acc12568c95a6211183d5d4459abf34
size 1107411200

3
NaviDrive-Qwen3-VL-2B-SFT.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bb194e9710f6acdef44d621c253861dab2f42ecb285d5e3afb706f09e02c274b
size 1060192512

3
NaviDrive-Qwen3-VL-2B-SFT.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5880a893f979e5c9920c8e64a1a61aa94ef08922b7197f2bda284a30fcbe8ba9
size 1257881856

3
NaviDrive-Qwen3-VL-2B-SFT.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:47e6d9a09ad562eb78dde048afd4b73ed6033d941bf1d471ce154861fa76e1ab
size 1230586112

3
NaviDrive-Qwen3-VL-2B-SFT.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2680508c371597a8b74bd9bf75ed6c266f93d10fc8347c8b281ca7160495393a
size 1417756928

3
NaviDrive-Qwen3-VL-2B-SFT.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6b5138275de16d6d3bbfe78af803c57f2d4b5c4ce9683c337db48caab24804ac
size 1834428672

3
NaviDrive-Qwen3-VL-2B-SFT.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7081fdaec123c6e74f1736f4907ae617dfbfa0944909cc01af1b460fafcd1431
size 3447351552

3
NaviDrive-Qwen3-VL-2B-SFT.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e2ccc9184675ad26596dfd40f7a1a063e3e3e19545d3282c5a255256a66f176e
size 445053952

3
NaviDrive-Qwen3-VL-2B-SFT.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:67d9852158aa93684e6022240683e5359fea9e7c77ce2c96fba463384c756931
size 819395584

82
README.md Normal file
View File

@@ -0,0 +1,82 @@
---
base_model: Ximeng0831/NaviDrive-Qwen3-VL-2B-SFT
datasets:
- Ximeng0831/NaviDrive-Reasoning
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- autonomous-driving
- vqa
- vision-language
- nuscenes
- driving-reasoning
---
## 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/Ximeng0831/NaviDrive-Qwen3-VL-2B-SFT
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NaviDrive-Qwen3-VL-2B-SFT-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/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.5 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.mmproj-f16.gguf) | mmproj-f16 | 0.9 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q5_K_S.gguf) | Q5_K_S | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q6_K.gguf) | Q6_K | 1.5 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.Q8_0.gguf) | Q8_0 | 1.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/NaviDrive-Qwen3-VL-2B-SFT-GGUF/resolve/main/NaviDrive-Qwen3-VL-2B-SFT.f16.gguf) | f16 | 3.5 | 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 -->