mradermacher/AIMO2_7B_v1-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/AIMO2_7B_v1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-11 10:54:16 +08:00
commit bfc7f057ee
14 changed files with 151 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
AIMO2_7B_v1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.f16.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AIMO2_7B_v1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
AIMO2_7B_v1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:948ea0f284ce53dccc369446e234cd78dc88186b87d17732309d3aaf929a2049
size 4250298848

3
AIMO2_7B_v1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3e0e70ac1b54793ed03a07444dda220adaa0e90b99e9dde908a327dc5c6b8845
size 3015940576

3
AIMO2_7B_v1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:47829703caaa0c67eed4edb79bae9eb6d6d0679d0b7cc593903cd5fc3c6adccb
size 4088459744

3
AIMO2_7B_v1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:835e2023efd3b17566de7aa350155d965a54b4b331dbd75411ac11318852290a
size 3808391648

3
AIMO2_7B_v1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2736ea9e09fa99d8d8e2c7812d079a9686955d53ba9e32ea8f1d4b19cf1acb8f
size 3492368864

3
AIMO2_7B_v1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:21c7342ad2d49ebb2602988f3736a1ae161fcb427dcab6e9ae14b018ae9d0987
size 4683074016

3
AIMO2_7B_v1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c60a6db2c161f299ea949861a6936b523d8459a605b5c5c2111d7fb161dd8d24
size 4457769440

3
AIMO2_7B_v1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4ff3e9aa2aa91aebab29d38b6bbc4c86386be3a681fa37616f9f62ee0d6ab5b5
size 5444831712

3
AIMO2_7B_v1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e93e08f8234c8c950d7575d0dd26b0b1101ee741691d8c93bf1632fe9eb7cb13
size 5315176928

3
AIMO2_7B_v1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2c69b0cacc7a1e3f708dec60c9546105748041dbae8b0ee82720a0401f234980
size 6254199264

3
AIMO2_7B_v1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec8a9a23a397e778d13c749af73457cd0bebead7fcaafa6ed53abb7980ed17fd
size 8098525664

3
AIMO2_7B_v1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f5343450c2810346dd0de9608c459f9341929b3ef85689f15e4fdb7d51554af1
size 15237853664

68
README.md Normal file
View File

@@ -0,0 +1,68 @@
---
base_model: lwl-uestc/AIMO2_7B_v1
language:
- en
library_name: transformers
license: other
quantized_by: mradermacher
tags:
- llama-factory
- full
- generated_from_trainer
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/lwl-uestc/AIMO2_7B_v1
<!-- 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/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/AIMO2_7B_v1-GGUF/resolve/main/AIMO2_7B_v1.f16.gguf) | f16 | 15.3 | 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 -->