mradermacher/RoboReward-4B-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/RoboReward-4B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-15 02:35:09 +08:00
commit 6b904a9a2b
16 changed files with 167 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
RoboReward-4B.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-4B.f16.gguf filter=lfs diff=lfs merge=lfs -text

76
README.md Normal file
View File

@@ -0,0 +1,76 @@
---
base_model: teetone/RoboReward-4B
datasets:
- teetone/RoboReward
language:
- en
library_name: transformers
license: cc-by-4.0
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/teetone/RoboReward-4B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#RoboReward-4B-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/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.6 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.mmproj-f16.gguf) | mmproj-f16 | 0.9 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-4B-GGUF/resolve/main/RoboReward-4B.f16.gguf) | f16 | 8.2 | 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
RoboReward-4B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e74aa653e1fbf63c6125d12344351d4deceecae8c7a58ecab3c30f2615f2cd65
size 2286318176

3
RoboReward-4B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a368d728e4373a6c397d8c1641e6ee429f7000466dd77ca94874b69bb87246cd
size 1669501536

3
RoboReward-4B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:adc02eec4082c0aa265d7f487e280fed8ab4b041c0d567c1c07fd371239809a1
size 2239787616

3
RoboReward-4B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b90664c33b4ae6821addaea2f3fdc0cd5870a3c6fbe949abecd7b40b008808f7
size 2075619936

3
RoboReward-4B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:59f26e486e70ecddfbbb1f8848388ebdc738dc65206c68ca92c7e7fc49823ed8
size 1886999136

3
RoboReward-4B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4740ef2c7db3494d992f9266c0a50bbb1f669044e6121cae2b847ce24c3152e5
size 2497282656

3
RoboReward-4B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:09a73c31bd4cf0b4d6d74fb61b1ead2d7387409f3121154a4992c74923a1768c
size 2383311456

3
RoboReward-4B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9b38836beae166add2016873ab57cb254e892480f5a94ab61b15e7c85fe8398f
size 2889515616

3
RoboReward-4B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:29bd55577c5beed6209c72d031da68e8a6ec4090fda4255bc84712296bf07f0e
size 2823713376

3
RoboReward-4B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:820e8a0ec1de40f0342812315943eb2f0d8f0a522ab1508fc4d6ec0b8888a2a9
size 3306263136

3
RoboReward-4B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a934c856405bd8f99f64bfd728b8b573c00b2d9c749426450b46ffcb7dab8025
size 4280407136

3
RoboReward-4B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:baa110477e9e0d1761767969162d2b6af2ed8d348f66eb0ba3f318c72f2f4e6f
size 8051287136

3
RoboReward-4B.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b232c6d8aff936d468929705ad116bdb9e72f0d5d581197e32a42e3a8b2fa6ba
size 453974880

3
RoboReward-4B.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c28e4ca9249bb2d629d1ce738b7c02910062191f7a42c3c1b3354f14714c3a38
size 836180832