初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-26 13:43:16 +08:00
commit a376ed631a
14 changed files with 154 additions and 0 deletions

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
MT3-Gen3-GMA-gemma-2-9B.f16.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
MT3-Gen3-GMA-gemma-2-9B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d8f67014791e6871603f9e0702702a224541872249e8b484df3c77e0595234f
size 5223172000

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6059d7626e1e042dd02256b13797365b31cdd399ac7345228787585ea938c9e0
size 3805398944

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0a6de024691bce4a20b84100a3934196e50003cc4908d3aee4ee53661012d565
size 5132453792

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:19cfa461f5af73d97430c5df1e8461b0557516203fcb762e52d8874e1e245893
size 4761782176

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d1e8a10b50342e002df0c253d05a54213ec231d3113202ddd25399eb57bcde1
size 4337665952

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:427fc8798dd9fce1a8d21a4fc32b67cb698d1d85a0a7436e0adeebd77cacaa44
size 5761058720

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:54365fc932a0857f02ab72ee62684348de25e0c34d35d847e7680119d334b65c
size 5478926240

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cb84773e58c71775740d5e147e368a18545599a36a955c8f24a938111d2cd5a1
size 6647367584

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:be049f2c1e9bc62ab91f406a0f211906f30cab986002dbfb3c037514da4d2f32
size 6483593120

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7f7b92b9de62a81a3de0584a7d5cbc2862a845ccca2d102fe29eb91094f19af8
size 7589070752

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec6b2322b5eb5f9eb68dce5a1f7b4606c65cb670566d53aeb02a1e8b4bfb2134
size 9827149728

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:061b28d75e2753856214f357296b1b1633e6186b9e036f18ca724a9a46376b1d
size 18490681248

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: zelk12/MT3-Gen3-GMA-gemma-2-9B_ANY_MERGE_MODELS_DELETED
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- mergekit
- merge
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/zelk12/MT3-Gen3-GMA-gemma-2-9B_ANY_MERGE_MODELS_DELETED
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MT3-Gen3-GMA-gemma-2-9B-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/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q2_K.gguf) | Q2_K | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q3_K_S.gguf) | Q3_K_S | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q3_K_L.gguf) | Q3_K_L | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.IQ4_XS.gguf) | IQ4_XS | 5.3 | |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q4_K_S.gguf) | Q4_K_S | 5.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q4_K_M.gguf) | Q4_K_M | 5.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q5_K_S.gguf) | Q5_K_S | 6.6 | |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q5_K_M.gguf) | Q5_K_M | 6.7 | |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q6_K.gguf) | Q6_K | 7.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.Q8_0.gguf) | Q8_0 | 9.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/MT3-Gen3-GMA-gemma-2-9B-GGUF/resolve/main/MT3-Gen3-GMA-gemma-2-9B.f16.gguf) | f16 | 18.6 | 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 -->