mradermacher/RoboReward-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/RoboReward-8B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-10-12 17:03:17 +08:00
commit 84bb96d15b
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-8B.mmproj-f16.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.mmproj-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.f16.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
RoboReward-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

76
README.md Normal file
View File

@@ -0,0 +1,76 @@
---
base_model: teetone/RoboReward-8B
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-8B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#RoboReward-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/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q2_K.gguf) | Q2_K | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q3_K_S.gguf) | Q3_K_S | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-8B.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/RoboReward-8B-GGUF/resolve/main/RoboReward-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 -->

3
RoboReward-8B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa0582e11ab4f9c663ca085ba237b61ef284478bf4e3aa93be7ce6457dcd9ef3
size 4593298592

3
RoboReward-8B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a5af79875966f1e018eba1e4b18f1f358b97cd83d277ecab0cea6e3a652f1ee6
size 3281734816

3
RoboReward-8B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cb59c413fca91070ce91d2aa71b97e2870ef484c6dbff36a232e988e1ff63164
size 4431396000

3
RoboReward-8B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b04270ecfb13de505977b163bd84b20d0a49e17a7e66a10e341a38555a6ba998
size 4124163232

3
RoboReward-8B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7854963f2cd4328ed1e9298786d3d2615094ccb2b9d61ec17204bdc8bdbeb00e
size 3769613472

3
RoboReward-8B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c207b0c5b78c45f8a8db15a08c28808235345f8674732c745cb7a41aed62c440
size 5027785888

3
RoboReward-8B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2981ae759c5647b89c597e60481ddbb83740a2a4322ab358e494a88ad3971781
size 4802014368

3
RoboReward-8B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:31976c7f85894ec76ed05223d37a5c68104e355d20e9cc4986e01498cae73ccb
size 5851114656

3
RoboReward-8B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b157e4519bec0ff72ee9d1bcf78c7d18a56e071346877eb66c0343868134ba07
size 5720763552

3
RoboReward-8B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e6ab1e5ed51fef164433914ea890dfc72370c7c9333884e3ec57294a6c4ac242
size 6725901472

3
RoboReward-8B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6c93c54387527e0e27eb5c3ba6b456aeaa23892a7bed321915273d9579876b61
size 8709520544

3
RoboReward-8B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c3bd127d1db00c7f5a0e9ff01c52ce86dc4e96e56576826cf75d1cb620d1fa85
size 16388045984

3
RoboReward-8B.mmproj-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:14aa42e7394114c136b9aabedb63637a8f3c08773d0951cc66623a301c940a35
size 752290400

3
RoboReward-8B.mmproj-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:af3761992a9c94525183ae56aa3cc42056b9872025bdc9553aa717964651b05c
size 1159030496