mradermacher/Math-Mixtral-7B-Dare-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/Math-Mixtral-7B-Dare-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-04-22 11:47:00 +08:00
commit d1dba9baaf
13 changed files with 144 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

46
.gitattributes vendored Normal file
View File

@@ -0,0 +1,46 @@
*.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
Math-Mixtral-7B-Dare.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Math-Mixtral-7B-Dare.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Math-Mixtral-7B-Dare.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:219f401b122996aad407a56583118561d4549b887ca85cf440238ffc9ee0592f
size 3944390240

3
Math-Mixtral-7B-Dare.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:329ef77b914e66637ccfa04de8cabb221fb249a1a1c61cc2714c70a6cd8f213f
size 2719243872

3
Math-Mixtral-7B-Dare.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ea81ec7c98995b20415966e16321c0abc1df5f26bdf3b5dde6ba17ee97cb6a46
size 3822026336

3
Math-Mixtral-7B-Dare.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f312cf00c158e73496134b2bef03f1c8304d14d7166c49abbc31150f1b9875ff
size 3518987872

3
Math-Mixtral-7B-Dare.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b1d5eeb0383974110221e3291be4a2315871c89407f6d2859aaeeced436e1da9
size 3164569184

3
Math-Mixtral-7B-Dare.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1acf9a4b75826501781fa31fd93dd170995728e376d346360775d91f0f562490
size 4368440928

3
Math-Mixtral-7B-Dare.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fb73efc201950bd47dfa5e50271cd4dcf5fbd3b0b438fbafc06fefb6aa4fd48d
size 4140375648

3
Math-Mixtral-7B-Dare.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a705253310079906fbb3960b31bbcd1c24a38d7cd374cfae720fc5cd5921deb0
size 5131411040

3
Math-Mixtral-7B-Dare.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:138f0a97601bb8c859b17dddb535887e102f1bc20a54536a3fe75e3c40c49030
size 4997717600

3
Math-Mixtral-7B-Dare.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8168b9aa3305ab1efa4823a8fe9370f8d3c6cdbe70d0330ae109af8eddaeba8f
size 5942066784

3
Math-Mixtral-7B-Dare.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3ce6cf5f64b7e971ca621d80e9110dc37a2860d3196ff670230e39c5617d1a39
size 7695859296

65
README.md Normal file
View File

@@ -0,0 +1,65 @@
---
base_model: DT12the/Math-Mixtral-7B-Dare
language:
- en
library_name: transformers
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/DT12the/Math-Mixtral-7B-Dare
<!-- 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/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Math-Mixtral-7B-Dare-GGUF/resolve/main/Math-Mixtral-7B-Dare.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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 -->