mradermacher/GPT4chan-8B-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/GPT4chan-8B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-12 22:02:19 +08:00
commit c286f32700
14 changed files with 154 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
GPT4chan-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.f16.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
GPT4chan-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
GPT4chan-8B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:294754c23a2865278e615370a685c77ff3482b1e631a089dc3c804bd845180cf
size 4484374784

3
GPT4chan-8B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:752605e24c6859f8aacce96121eac9fafdd195b2964737e7a1019ef271cef340
size 3179141760

3
GPT4chan-8B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:96bcc68215cfa0f218fa3f16ac61a81f324e61d608a9c8eb923cfc04cdb06e80
size 4321967552

3
GPT4chan-8B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:22865cdc04a48b59fa8b06aeb1018513ac550e5d84a651f9e6f8da5425571585
size 4018929088

3
GPT4chan-8B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:194c46170fadc5bfd1577ab20811f6407f1d215657670458b27d3f49ff40b23c
size 3664510400

3
GPT4chan-8B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:306d38dc13d4b896a4469b377eec743ad26ce25937f5f1b75fa4a39243db2e1e
size 4920746496

3
GPT4chan-8B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cb6a668c2359d601a30dc57f43f8a3debf513d2937c74e0baa406afa14352614
size 4692681216

3
GPT4chan-8B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:71c1130990bab82116c4658c6693af2e0a6d3491c0c32291f8450f80a4075bbb
size 5733000704

3
GPT4chan-8B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1f56f4efe92f92b469a5c5b37dff70453f1e43975b45a77a30966fcae664a657
size 5599307264

3
GPT4chan-8B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dec4203dc903b433eed95efd25067942f3c1c80fa3f645c8fd1fe7161fce15a3
size 6596020800

3
GPT4chan-8B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4bb7afa396b863c9622c93def455466ee04cba1689f626a2450c195c423ba16f
size 8540789184

3
GPT4chan-8B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5a6e51c396230cfee33aebf0faa6e863723e73cd44b1ca4b9f493f6c27c6ce80
size 16068924864

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: v2ray/GPT4chan-8B
datasets:
- v2ray/4chan
language:
- en
library_name: transformers
license: mit
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/v2ray/GPT4chan-8B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#GPT4chan-8B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GPT4chan-8B-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/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/GPT4chan-8B-GGUF/resolve/main/GPT4chan-8B.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 -->