mradermacher/Qwen3-8B-ERP-v0.1-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/Qwen3-8B-ERP-v0.1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-09 07:27:57 +08:00
commit 7e98bcca17
14 changed files with 147 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
Qwen3-8B-ERP-v0.1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.f16.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Qwen3-8B-ERP-v0.1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Qwen3-8B-ERP-v0.1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3d578742292e6beb877b3179d72acd8572ebe251784da3be39aa9d43e00ec31c
size 4593296960

3
Qwen3-8B-ERP-v0.1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dade0ca899f79a9475acc6bb1452bea6c618ab776ea9714116767583e260fa4e
size 3281733184

3
Qwen3-8B-ERP-v0.1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:de5c3dbd21a25fe096444897c8544d96dd7337f4de9b5c6c266b97d4fb5407e2
size 4431394368

3
Qwen3-8B-ERP-v0.1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2568829e18b6db6d83de2bfe62dad5934618295c172acf71d57a37a2fcf8492b
size 4124161600

3
Qwen3-8B-ERP-v0.1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c6179d11fccc5fd6c5f4813e115b3677bcc337e2841f7c96f1f3d174ae5bbaea
size 3769611840

3
Qwen3-8B-ERP-v0.1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1cd1b9d7fd0ec805c384294537bb22af7c4be14457e7fe06f773efff7d871763
size 5027784256

3
Qwen3-8B-ERP-v0.1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:36662a049a0e553ec42cafe35b6bd8f541ad7c1d56829b2985e382942ca2ca29
size 4802012736

3
Qwen3-8B-ERP-v0.1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:deb67a14dfe6b3a074d248a18b5947f0ec3d9345fb6a0dfffc34aa90555843c3
size 5851113024

3
Qwen3-8B-ERP-v0.1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2fead68aea03c68bb7cc88d4fd240e2b576c7d1883afaa9f3c6139a4b3d88763
size 5720761920

3
Qwen3-8B-ERP-v0.1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0b3e8d5e6fcca6c8b56aae75b80738b47d557119a98feb2aa10c19ab7166181f
size 6725899840

3
Qwen3-8B-ERP-v0.1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:94d3885a6fde10629875add7b2c71b6a957c83b6bd7657007c5a060fe17bf3c8
size 8709518912

3
Qwen3-8B-ERP-v0.1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f23d7e51164d2c540a7a00d83a31464050dc02f2a53f196360548645a143c8b1
size 16388044352

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: Aratako/Qwen3-8B-ERP-v0.1
language:
- ja
library_name: transformers
license: mit
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Aratako/Qwen3-8B-ERP-v0.1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-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/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q2_K.gguf) | Q2_K | 3.4 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q3_K_S.gguf) | Q3_K_S | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q3_K_L.gguf) | Q3_K_L | 4.5 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.IQ4_XS.gguf) | IQ4_XS | 4.7 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q4_K_M.gguf) | Q4_K_M | 5.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q5_K_S.gguf) | Q5_K_S | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q6_K.gguf) | Q6_K | 6.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.Q8_0.gguf) | Q8_0 | 8.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-8B-ERP-v0.1-GGUF/resolve/main/Qwen3-8B-ERP-v0.1.f16.gguf) | f16 | 16.5 | 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 -->