mradermacher/GPTR-8-base-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/GPTR-8-base-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-12 22:16:21 +08:00
commit 58bb9a4d52
14 changed files with 156 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
GPTR-8-base.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.f16.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GPTR-8-base.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
GPTR-8-base.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ef814e353ea46aa981a6af03146a26448661c470b4af9aebfba00c92d80b2cba
size 4484282944

3
GPTR-8-base.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c460f079291c377e0b6ae114b944c4a0fce0c8147a987b85cd85a17ebda1d503
size 3178410944

3
GPTR-8-base.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2f493a4db23d6dc6db1e82d46d2c5cd4575c4a5616ff6901be559a9b82ac8f4f
size 4321556224

3
GPTR-8-base.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ce1fd4c20c33ca24b2dd0372f54333fb92b77b387f2601cee7bed28461c8824
size 4018517760

3
GPTR-8-base.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5a45a09c6fa47ad7d71eea40a8c1745a696c4776270411059b3c5dedc1ef4b56
size 3664099072

3
GPTR-8-base.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:78bf23b5350595a5005c4252ac57f38e98e70a466a10486272c9598a4d2cb037
size 4920752960

3
GPTR-8-base.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b29ca0374bcff173ee1560d755895dbf28989b344ef3a0a40fb7f779f5e140f3
size 4692687680

3
GPTR-8-base.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:27e2e8bf77cb3c2317960a401f78811ade96bb3fce2cd906ddc7d7431d59242b
size 5733400384

3
GPTR-8-base.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d2f6b1b5536b0ae946230ab1efff6cf99d73b6ac15fc3b38ceaa874dc44e3fe9
size 5599706944

3
GPTR-8-base.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:246ba95f6d17d69eeb65b41b55e621cd421c5e6a3f02bbd1f777f64cc17f8bed
size 6596838272

3
GPTR-8-base.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dda27fe9a5fc369511310d01cccbf540eadbf7f39bcf45e63113c821996f9d60
size 8543130368

3
GPTR-8-base.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:55ab90cce20d84c6d2d18197561b3085d2e2679a1de2584d2f093608cdf65fd4
size 16077164288

73
README.md Normal file
View File

@@ -0,0 +1,73 @@
---
base_model: attn-signs/GPTR-8b-base
datasets:
- attn-signs/gromov-0
language:
- ru
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- reasoning
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/attn-signs/GPTR-8b-base
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#GPTR-8-base-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GPTR-8-base-i1-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/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/GPTR-8-base-GGUF/resolve/main/GPTR-8-base.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 -->