mradermacher/Octen-Embedding-0.6B-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/Octen-Embedding-0.6B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-19 12:57:16 +08:00
commit ecff937fea
14 changed files with 164 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
Octen-Embedding-0.6B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Octen-Embedding-0.6B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Octen-Embedding-0.6B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d8e04a31c59c0b3439486ccb7c458b195abc8d65c36bc55633c139e676d74463
size 369048320

3
Octen-Embedding-0.6B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b8f2875e3be411f615d1f036d63e79f1dba4734cae0ec98b7b6b51aecb0fcbb
size 296008448

3
Octen-Embedding-0.6B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a8ee3f1ce1209972a193f04dd3e6b1676dc4cdc3e6b760074e4145e12e61fa02
size 368261888

3
Octen-Embedding-0.6B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9734b205a0dece653b4cc6ff34dc0eeb2626b9a1fb7e7f59086f8f18a0a11acf
size 346897152

3
Octen-Embedding-0.6B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1790cb65240717d5185a11e4a177ccc5c6e8b9d1a16027c9884799fd0505263c
size 322845440

3
Octen-Embedding-0.6B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa4eccdcea08b0c1c2e40fdb7a7dd52f104ce7f6732649378407c479873aebbb
size 396475136

3
Octen-Embedding-0.6B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5dce06427d5ebfa00527799b4d538b36c63c637749608a3636af33dfbe12c63e
size 383040256

3
Octen-Embedding-0.6B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:77731350647fcf82e6a487f5dc16d354fb36bf391128584bd95e4443fb116f1a
size 444185344

3
Octen-Embedding-0.6B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bca71b97379df1bb1cb32e0171465fe1d016f361a75db26f75c2fe3abc83f192
size 436386560

3
Octen-Embedding-0.6B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:23f03aa375bc51c43d2b101d9c2ebab8f0c68bf799484be3bf69a5af23f2080d
size 494877440

3
Octen-Embedding-0.6B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1eaad214b2ac57b07beb5f137fa803a33eb123570cb3dcc9325da144c824c43e
size 639151168

3
Octen-Embedding-0.6B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:beb9d729b81b81ed3d679f0fe64669ecd2a027b70fbf63e1f9af10375df96628
size 1197630208

81
README.md Normal file
View File

@@ -0,0 +1,81 @@
---
base_model: Octen/Octen-Embedding-0.6B
language:
- en
- zh
- multilingual
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- embedding
- text-embedding
- retrieval
---
## 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/Octen/Octen-Embedding-0.6B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Octen-Embedding-0.6B-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Octen-Embedding-0.6B-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/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q2_K.gguf) | Q2_K | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q3_K_S.gguf) | Q3_K_S | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q3_K_M.gguf) | Q3_K_M | 0.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q3_K_L.gguf) | Q3_K_L | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.IQ4_XS.gguf) | IQ4_XS | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q5_K_S.gguf) | Q5_K_S | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q5_K_M.gguf) | Q5_K_M | 0.5 | |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q6_K.gguf) | Q6_K | 0.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.Q8_0.gguf) | Q8_0 | 0.7 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Octen-Embedding-0.6B-GGUF/resolve/main/Octen-Embedding-0.6B.f16.gguf) | f16 | 1.3 | 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 -->