mradermacher/Anole-7b-v0.1-hf-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/Anole-7b-v0.1-hf-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-08 23:59:52 +08:00
commit 9be1141cd3
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
Anole-7b-v0.1-hf.f16.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Anole-7b-v0.1-hf.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Anole-7b-v0.1-hf.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a5fa9ae43303163891a6a72cdefd0b0a56de98ea64f801355ee361335865fb6d
size 3836685664

3
Anole-7b-v0.1-hf.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6dc7112067f0efe900bd8e0bfd0d4c97bab9c2fdd6588b787d778fb51bcfe870
size 2694131040

3
Anole-7b-v0.1-hf.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:96e13af74db431c51ffd6763db7ca456add2be2912726521d2c8fb46f612490d
size 3772329312

3
Anole-7b-v0.1-hf.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0bfa22875541a304c67750f34aab716c3d89db73bdb8bb02e029e8a659ca3e86
size 3473223008

3
Anole-7b-v0.1-hf.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5a39bc88c8cc6dda6415260f75aabd0750c56819957298914b8b7e37e3ab3274
size 3123522912

3
Anole-7b-v0.1-hf.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:49a64c6d0a145822a6b1e5bd2491f62ca03e1ae4bbd202c79a1bbb21469bd6da
size 4274466144

3
Anole-7b-v0.1-hf.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:08128b4c8d34924b6548b78b4032f3aa645eb433e944ef62332ad29f74470fa4
size 4050201952

3
Anole-7b-v0.1-hf.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c60916bafb9165b3686fa3bd0ed8ea3cb9d8ff496ec51b9107edcedc188762f6
size 4993789280

3
Anole-7b-v0.1-hf.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4cc02afe7e89cf2e9fecb07be14e2c44fffb86ed2408407663493f425d61d5db
size 4862324064

3
Anole-7b-v0.1-hf.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4c741bf0c2ff57b6a763b6e9717a9e33370a66a9833ecfe6df64b1b47b814c36
size 5758070112

3
Anole-7b-v0.1-hf.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7fba0a94d2463794b14710fb326690eefb84366c16d9a30c5d7e7f562d8c3472
size 7456501088

3
Anole-7b-v0.1-hf.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7630b22c8f3870067ab41888610aa7246c3dbaa3a02e788cd4a915207faf83b7
size 14031072608

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: leloy/Anole-7b-v0.1-hf
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/leloy/Anole-7b-v0.1-hf
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-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/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q3_K_S.gguf) | Q3_K_S | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.IQ4_XS.gguf) | IQ4_XS | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q4_K_M.gguf) | Q4_K_M | 4.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q5_K_S.gguf) | Q5_K_S | 5.0 | |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q5_K_M.gguf) | Q5_K_M | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q6_K.gguf) | Q6_K | 5.9 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.Q8_0.gguf) | Q8_0 | 7.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Anole-7b-v0.1-hf-GGUF/resolve/main/Anole-7b-v0.1-hf.f16.gguf) | f16 | 14.1 | 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 -->