mradermacher/gemma-2b-datascience-instruct-v4.5-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-datascience-instruct-v4.5-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-22 05:28:09 +08:00
commit 7390f8bb36
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-datascience-instruct-v4.5.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
gemma-2b-datascience-instruct-v4.5.f16.gguf filter=lfs diff=lfs merge=lfs -text

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: hanzla/gemma-2b-datascience-instruct-v4.5
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- gemma
- trl
- sft
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/hanzla/gemma-2b-datascience-instruct-v4.5
<!-- 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/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q2_K.gguf) | Q2_K | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q3_K_S.gguf) | Q3_K_S | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q3_K_M.gguf) | Q3_K_M | 1.5 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q3_K_L.gguf) | Q3_K_L | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.IQ4_XS.gguf) | IQ4_XS | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q4_K_S.gguf) | Q4_K_S | 1.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q4_K_M.gguf) | Q4_K_M | 1.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q5_K_S.gguf) | Q5_K_S | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q5_K_M.gguf) | Q5_K_M | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q6_K.gguf) | Q6_K | 2.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.Q8_0.gguf) | Q8_0 | 2.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/gemma-2b-datascience-instruct-v4.5-GGUF/resolve/main/gemma-2b-datascience-instruct-v4.5.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 -->

3
gemma-2b-datascience-instruct-v4.5.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d42866b1a64e3529e191dd3094772132b2bb6cfb63b1eb5787e415da13d2bce5
size 1501219232

3
gemma-2b-datascience-instruct-v4.5.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cace95d6808a405b47254ec3293793d701c8e60f3b844b5c6624cecb0347ff86
size 1157925280

3
gemma-2b-datascience-instruct-v4.5.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bbeff71a867e2f2cdf4f03b66021d3f021588599591f4c382250cb9e2f925c40
size 1465592224

3
gemma-2b-datascience-instruct-v4.5.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8c329751f432d8122d1408ab97a1b930cba8a0906fea370f1398e3df4f02a235
size 1383803296

3
gemma-2b-datascience-instruct-v4.5.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c609b456aa275b6867b14c1fd7a8dcc1285662e28d794c0ed5e861d1a2989164
size 1287981472

3
gemma-2b-datascience-instruct-v4.5.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b28de27ba8c137abbd3f87535ddd8df9c5618fc1765fe72f973b016b92d57764
size 1630263712

3
gemma-2b-datascience-instruct-v4.5.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2d5bdad3cec845deea3c06fca16a3582aaefae2843576d8198b365e538d02d10
size 1559841184

3
gemma-2b-datascience-instruct-v4.5.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5ab73816da137e900f32adf81b3efcb97b616ed43abf5600783b416cbd6a4df7
size 1839651232

3
gemma-2b-datascience-instruct-v4.5.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:51bf202ba7eb2d88b6eda76bccb5eaedfe1d3e4417ef1f87f98a856eb1f541b0
size 1798916512

3
gemma-2b-datascience-instruct-v4.5.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9f63f3680c7d04c831b4134510aa2ab454954da6519a35351ce59b3b668abd60
size 2062125472

3
gemma-2b-datascience-instruct-v4.5.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b026ddff8c3782236bb8a4bae4b3f693b53bf6c749d5d2c0fd30550cb2214bc1
size 2669070752

3
gemma-2b-datascience-instruct-v4.5.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e4a9beef4a40fa6865ffa653b7721b8c9ee930b5f4d0b62c899e9d83ddb20de9
size 5018536352