mradermacher/Bitnet-M7-resized-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/Bitnet-M7-resized-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-23 15:58:09 +08:00
commit f26b61da51
14 changed files with 146 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
Bitnet-M7-resized.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Bitnet-M7-resized.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Bitnet-M7-resized.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:93ebad210f9a444b3a586768bda63c8890c64d466efe5f75ded6e338232e611d
size 162936128

3
Bitnet-M7-resized.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d1dd85014aa857bcd9b419affe3c6dcc448cc32d62c7b69edf3224bc4879699c
size 127898944

3
Bitnet-M7-resized.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1ebd3b85340338d6dc5abe621a70bbe04e955dec01339008bdc1150a44867fa8
size 158442816

3
Bitnet-M7-resized.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e000b34e307bd6ef6675bbc20d331db50a6e7662ed064a53dc499d7ec8c00bbb
size 151627072

3
Bitnet-M7-resized.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d73a1c70207365ebd1163211465115b3863c25b2574baccc4cf2a3a541c24486
size 142222656

3
Bitnet-M7-resized.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5e2392b40bff6f1da7ce0c9967f238364c3a4bb59011047e4274fd80624ed97f
size 172553536

3
Bitnet-M7-resized.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d873a44baf075ec56caac5f052d341551ab41dc8137da565cece86dd59393b2
size 171406656

3
Bitnet-M7-resized.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8afbb764b87e99f44330fc23023a58a82abdc16c434ee2d6921d08a0313308b1
size 196474176

3
Bitnet-M7-resized.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b0c4ea25766cef6a2524c3e4fd7f24c5098e88c7d299cab94a45868be41f00d0
size 194803008

3
Bitnet-M7-resized.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c049dd21b021cb23055d5c6d344cd918a97329a25c1efc22fbc0dfb2bd5aad38
size 221889856

3
Bitnet-M7-resized.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:160a7129f2ad85fa6314b4803852f5dfc9d0800d696b2a986320ef67a71601a5
size 287155520

3
Bitnet-M7-resized.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:58b478068775f1333b3125e508d3de2e448ca1bb47ab48f02b09bc332c6afa0b
size 539796800

63
README.md Normal file
View File

@@ -0,0 +1,63 @@
---
base_model: liminerity/Bitnet-M7-resized
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/liminerity/Bitnet-M7-resized
<!-- 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/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q2_K.gguf) | Q2_K | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q3_K_S.gguf) | Q3_K_S | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q3_K_M.gguf) | Q3_K_M | 0.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q3_K_L.gguf) | Q3_K_L | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.IQ4_XS.gguf) | IQ4_XS | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q4_K_S.gguf) | Q4_K_S | 0.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q4_K_M.gguf) | Q4_K_M | 0.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q5_K_S.gguf) | Q5_K_S | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q5_K_M.gguf) | Q5_K_M | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q6_K.gguf) | Q6_K | 0.3 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.Q8_0.gguf) | Q8_0 | 0.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Bitnet-M7-resized-GGUF/resolve/main/Bitnet-M7-resized.f16.gguf) | f16 | 0.6 | 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 -->