mradermacher/Gemma-2B-Tele-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/Gemma-2B-Tele-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-21 19:56:22 +08:00
commit eea2c85345
14 changed files with 154 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
Gemma-2B-Tele.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Gemma-2B-Tele.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Gemma-2B-Tele.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:14b6d23abf59c2ea8ce388d45466e653c764fd956a956d9681abf40cd9a305ed
size 1501217792

3
Gemma-2B-Tele.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:10d1d7236a4a9659a4fdc14abbefd0ae418bd536a7d5597b8227276ae7ea06c2
size 1157923840

3
Gemma-2B-Tele.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6d06cb3a0fa0ef8565cc002370006068b9b5c9c9d7e4b2ccf821d56ec5079168
size 1465590784

3
Gemma-2B-Tele.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:844270d8e9c81bc78a46ea8bad3c4c0e7b6b8929a2b3d1be535d537f96a48dab
size 1383801856

3
Gemma-2B-Tele.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dedd6b437ff3715ef863d7921aa7aad6322cc1771f86e3236dc419839e26c88a
size 1287980032

3
Gemma-2B-Tele.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a717627e70da5a4dbed6e5994fcda9e9f5cfcb24cc63ab9a056f6c023a593229
size 1630262272

3
Gemma-2B-Tele.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a2642252e188e2c1a5bcc525175ed28a06a64caf829e82cfc9595306e6cdb674
size 1559839744

3
Gemma-2B-Tele.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d02ee05c6d97d52ad6d196b1d56df06cab3e1d1f4b3aa586987cb5f87e609fa6
size 1839649792

3
Gemma-2B-Tele.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6e4d10bb5ab6b42c23ca37a33f3430bf781a1fe7f53012175c324251227d772d
size 1798915072

3
Gemma-2B-Tele.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:819bab8802217ae5179e68617b59d22fc73506935882a1c78256098980bd6eca
size 2062124032

3
Gemma-2B-Tele.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b9a2c2eb2072d07cc39118a457640eb1e2ecd1c28a51c54753e94f20627cc1b6
size 2669069312

3
Gemma-2B-Tele.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b982fb96f5428f4c061e8e83eedf55d6ff036a8a2f3ff93cbf6f80e38dee0634
size 5018534912

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: AliMaatouk/Gemma-2B-Tele
language:
- en
library_name: transformers
license: gemma
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- nlp
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/AliMaatouk/Gemma-2B-Tele
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Gemma-2B-Tele-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/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q2_K.gguf) | Q2_K | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q3_K_S.gguf) | Q3_K_S | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q3_K_M.gguf) | Q3_K_M | 1.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q3_K_L.gguf) | Q3_K_L | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.IQ4_XS.gguf) | IQ4_XS | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q4_K_S.gguf) | Q4_K_S | 1.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q4_K_M.gguf) | Q4_K_M | 1.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q5_K_S.gguf) | Q5_K_S | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q5_K_M.gguf) | Q5_K_M | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q6_K.gguf) | Q6_K | 2.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.Q8_0.gguf) | Q8_0 | 2.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Gemma-2B-Tele-GGUF/resolve/main/Gemma-2B-Tele.f16.gguf) | f16 | 5.1 | 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 -->