mradermacher/GROOT-8B-R1-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/GROOT-8B-R1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-13 22:32:19 +08:00
commit 42d584f6e2
14 changed files with 157 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
.gitattributes vendored Normal file
View File

@@ -0,0 +1,47 @@
*.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
GROOT-8B-R1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.f16.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GROOT-8B-R1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
GROOT-8B-R1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5c4a03b73302193b02acdf1f8e32db38bf24d828a298a4cc15c91f090c25a698
size 4484366688

3
GROOT-8B-R1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:364bcbb0cc97dd66e73e2b4254738a811e57053b7f7963d85ab9a887b86cf481
size 3179135328

3
GROOT-8B-R1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4fee198042a20bd3e156b7c9107dd977b0a1afa2a86e02775aa1d0f7cd38efe3
size 4321960288

3
GROOT-8B-R1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:25a319cdc966e2defb704e468adc16994e1a5dda89473c2e27db85a58f42ad5b
size 4018921824

3
GROOT-8B-R1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1f57c82d97f0c7e1557f91a22b2cada927dd050ea8daf79caea46dc221dae0e7
size 3664503136

3
GROOT-8B-R1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f82168fab74a6f3a8604456d04b6b506c602b355584d7fe9efdefdcbc7d6d22c
size 4920738144

3
GROOT-8B-R1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a25b9f50dea8e8543c2e1bba225ecd06bd76dd43884368cb4ffecee39543f003
size 4692672864

3
GROOT-8B-R1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2e72207951ba33258953d7692d342cd00162b17527c0e2fba75487a3e6263872
size 5732991328

3
GROOT-8B-R1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a5711aedb851b066875b20aa018cd89ca95a0cc9eb7905dd7ea6700de65c2571
size 5599297888

3
GROOT-8B-R1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:15c6680c0fc2507db0c1ae8d3f34a5312b62b054f1c237fd0dc62cffecfe2b15
size 6596010336

3
GROOT-8B-R1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fad1d04c93b7ad9d3fd419639db9c215e0bb232b57897c26e17e0b145af26bd4
size 8540774752

3
GROOT-8B-R1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5392e6b376d11a6f9562517fc08281176ff5c5e37e925d99de24e9ff8ba12975
size 16068895072

74
README.md Normal file
View File

@@ -0,0 +1,74 @@
---
base_model: talaviyabhavik/GROOT-8B-R1
datasets:
- Magpie-Align/Magpie-Reasoning-V1-150K-CoT-Deepseek-R1-Llama-70B
- Magpie-Align/Magpie-Reasoning-V2-250K-CoT-Deepseek-R1-Llama-70B
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/talaviyabhavik/GROOT-8B-R1
<!-- provided-files -->
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/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/GROOT-8B-R1-GGUF/resolve/main/GROOT-8B-R1.f16.gguf) | f16 | 16.2 | 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 -->