初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-20 12:24:16 +08:00
commit 3cf19fa366
14 changed files with 147 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
EXAONESumm-3.0-7.8B-Instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
EXAONESumm-3.0-7.8B-Instruct.f16.gguf filter=lfs diff=lfs merge=lfs -text

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:afef2ac822f801e4d79390ad4016d4ec5ff0953140797223d31700c79e36c13c
size 4337588064

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c7cddcd35c3c020cf3a6469cdc60b08c066a5fc158f71e792c460e0d37ba575c
size 3053868896

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95f5e0c6637669627b87ae55ce7db5fbc2f7855cf2565adbb62a9c7fcb9b7f85
size 4185937760

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f1b83cf9388548641163a35d1b11d65127456bd549115f8a15302bd9110e4e1a
size 3882899296

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:569ec05919bfdad9114c7764cc2f70646ad558506fda4e7bf05e48bf4276d237
size 3528480608

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ab704a731b2c10dd956149d53ba8ac453201527b9a5deab4ac22ec716c2831b7
size 4770649952

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3531e4a1e3b4f84c9b8fe4a8dc9f20f66c0cd65cdf004a910a396bd6afcf4154
size 4542584672

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8cd85f208b1db4154650a926fe0c2ff1c325c62ea0a2f0f0f074942b9ff8f164
size 5569664864

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:63ddad3c86113267cd85981989fa15bcf1e75432f86bb6ea70796a78dc273e5d
size 5435971424

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4ba6de988b6b3ac61737aa7f83a4a16a3dd28cccf660b212df7ef89a2994ffc8
size 6418618208

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f76136c3360215d549acacf2b08bfa84710480fdd1cca7cb7d1b774e1aabedba
size 8312084320

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e09abdc3fd76575de04d9c85ec45839dddae16a602210204246d3f4840c82b91
size 15641630560

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: fiveflow/EXAONESumm-3.0-7.8B-Instruct
language:
- en
library_name: transformers
quantized_by: mradermacher
tags: []
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/fiveflow/EXAONESumm-3.0-7.8B-Instruct
<!-- 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/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q2_K.gguf) | Q2_K | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q3_K_M.gguf) | Q3_K_M | 4.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q3_K_L.gguf) | Q3_K_L | 4.3 | |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q4_K_M.gguf) | Q4_K_M | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q5_K_S.gguf) | Q5_K_S | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q5_K_M.gguf) | Q5_K_M | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q6_K.gguf) | Q6_K | 6.5 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.Q8_0.gguf) | Q8_0 | 8.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/EXAONESumm-3.0-7.8B-Instruct-GGUF/resolve/main/EXAONESumm-3.0-7.8B-Instruct.f16.gguf) | f16 | 15.7 | 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 -->