mradermacher/T3qM7-7B-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/T3qM7-7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-04 17:19:16 +08:00
commit 7b43db9962
14 changed files with 152 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
T3qM7-7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
T3qM7-7B.f16.gguf filter=lfs diff=lfs merge=lfs -text

69
README.md Normal file
View File

@@ -0,0 +1,69 @@
---
base_model: automerger/T3qM7-7B
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- merge
- mergekit
- lazymergekit
- automerger
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/automerger/T3qM7-7B
<!-- 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/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/T3qM7-7B-GGUF/resolve/main/T3qM7-7B.f16.gguf) | f16 | 14.6 | 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 -->

3
T3qM7-7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4f67ab3c8b24c7ae5bf6725571d438b62914801cfef3b539a2cf321423ec4af0
size 3944389728

3
T3qM7-7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2581d95e31cd57b0ed22cbdb25d2c64008a8259ae35482855e349f8ab2c5a351
size 2719243360

3
T3qM7-7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4c9656c8d6fdf5b75dc31e10c8c06fd8db18f88e5bb9ea1ad309ef0b9c9ff66c
size 3822025824

3
T3qM7-7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1e81735ca60dd5aac507c84d17621514063527b148dd792045e2532b118274d8
size 3518987360

3
T3qM7-7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c36432c8928f019ab3eb02ad473106b6a526de486afd5bc7b75420c2b3a18dca
size 3164568672

3
T3qM7-7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aa201fda54a750e5411fcaf06a1b0037bd1d9a005372006d88973f7ce8cfc599
size 4368440416

3
T3qM7-7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f7e44987672b98950b3611ab7cf40beedcceb1568da76b5b3494e9226ae8d26c
size 4140375136

3
T3qM7-7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c3c37033ce03cf5c0358331253ac71f7716368eb645f2a426539fb391140823e
size 5131410528

3
T3qM7-7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:162e0f405c30bd94cdea5b0edef4c5bff27f60920dd44cfff09c43fb181df1cc
size 4997717088

3
T3qM7-7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:33c78ab4486a959bbd341ebf98c39be285cd077e32be4ec37233c5db7d084d31
size 5942066272

3
T3qM7-7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:80fbd742f856ee3c333e7d3d9a3a89fa0fc5866baa82efb1e9bea38d625fafdc
size 7695858784

3
T3qM7-7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:567e9f1b3219fd2bcb9c6f19a8d008cb997205ee766da89c6a6bb6cf44d84c9f
size 14484733024