mradermacher/EvoNet-8b-Reasoning-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/EvoNet-8b-Reasoning-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-12 22:38:21 +08:00
commit 4eb812c620
14 changed files with 162 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
EvoNet-8b-Reasoning.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.f16.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
EvoNet-8b-Reasoning.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text

3
EvoNet-8b-Reasoning.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d937e31a4aef4c644b7b3e27aae56db62703c03b07ca71c62fda892ac30f12f6
size 4484364128

3
EvoNet-8b-Reasoning.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7cb65eb8132edc9e0e6f432bdca1226f42d22d89383613b6d721048cfacc2c4c
size 3179132768

3
EvoNet-8b-Reasoning.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cf761c6607ae8f2d08ac864d1fec28fe092c174d569336aa56cdc8a156ca5123
size 4321957728

3
EvoNet-8b-Reasoning.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6c7775012fcec9c28150abee910e7869f66a9de34c60f7d855fab8f4b9501691
size 4018919264

3
EvoNet-8b-Reasoning.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e507a8ad8805218acb35510277c505f22fd3ddb4752808daeab7e658a7eaaecc
size 3664500576

3
EvoNet-8b-Reasoning.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dbb4d2c935bae88b0990e042e499adbba6bb6ba55dd8ff4b61bae1388fe9b7d3
size 4920735584

3
EvoNet-8b-Reasoning.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:48c59090415eef0635ed1fdcb8846edfaad6cb6f4168c713ecc0329bcf71656a
size 4692670304

3
EvoNet-8b-Reasoning.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8392dfacb3f9569379a08a330ab3ae29fdd0404dca3e48cb13423adf2c7221f2
size 5732988768

3
EvoNet-8b-Reasoning.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:44adf8baf2b98742f8d970ab40005b751c72256eb08bef2a7aa97aa108ff718a
size 5599295328

3
EvoNet-8b-Reasoning.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:21540368daeb578c301de0eaef51a2e7f240f3d8ba2eaacdc9b59f1266027238
size 6596007776

3
EvoNet-8b-Reasoning.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ffee89b10b9f4bbad863cd8c5bc918128bfe6e65ab939666dab25ac3cab1a797
size 8540772192

3
EvoNet-8b-Reasoning.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e440335b7fe98e93d04da4e52713d31dbbdb16f37b7dac5b5f7742fd3200030c
size 16068892512

79
README.md Normal file
View File

@@ -0,0 +1,79 @@
---
base_model: EvoNet/EvoNet-8b-Reasoning
language:
- vi
- en
library_name: transformers
license: llama3.1
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- reasoning
- cybersecurity
- pentest
- evonet
- llama-3.1
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/EvoNet/EvoNet-8b-Reasoning
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#EvoNet-8b-Reasoning-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-i1-GGUF
## 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/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/EvoNet-8b-Reasoning-GGUF/resolve/main/EvoNet-8b-Reasoning.f16.gguf) | f16 | 16.2 | 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 -->