初始化项目,由ModelHub XC社区提供模型

Model: mradermacher/Akelei-270M-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-01 18:00:37 +08:00
commit d43d41e830
14 changed files with 161 additions and 0 deletions

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
Akelei-270M.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Akelei-270M.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Akelei-270M.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:924c9e07628331c753ba924922be91a412d56a7218d88d9a801231bb70aadb1d
size 241266304

3
Akelei-270M.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:80c9717a7e921b70ebaf124687d52bd0b303c99de9550ce5f74a6d2cf180e62a
size 237078144

3
Akelei-270M.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b7ccae06a258cf8914e9e76084159a0e14430d38c778315395810618f55e14bf
size 246386304

3
Akelei-270M.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dfec5fe59434fe5d036d46231736e51f29fe7c1095f14208abc1bb414518b41f
size 241962624

3
Akelei-270M.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9d86dcfb1915a03371a3e670e27d5ab000ed37040b04ee70bf225eb7cd2d87de
size 236709504

3
Akelei-270M.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8107f599ba01f4df4e96ed2dd978c1d93cdba1d5f4c3d7b22d657506e2af5081
size 253113984

3
Akelei-270M.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:06e73e9bc0e5069a107907753c4ba2b1f672269f447534d0e65aa11db07b9b80
size 249888384

3
Akelei-270M.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a66940b918f147c69804005982233c555306c4502813c00b614276e73463dc95
size 260025984

3
Akelei-270M.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b4f2e4849839393b7cb4b4d4c4a01b3b3dd6a96ab79abe26598f5aba2dfafb4b
size 257998464

3
Akelei-270M.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f55eb2f2775844106ac766878c544c16542de0ca9c848b9e14a7143c3d68a33b
size 282973824

3
Akelei-270M.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e6ca7ed831d0e1ac010b6003d18860ccb5917c7397ec15acd8bb669009ddaf49
size 291544704

3
Akelei-270M.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5186751144c5fdb8f2760a6d28631efe54662b833edc0643e90d93afc470a343
size 542834304

78
README.md Normal file
View File

@@ -0,0 +1,78 @@
---
base_model: mags0ft/Akelei-270M
datasets:
- wikimedia/wikipedia
language:
- de
library_name: transformers
license: mit
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- transformers
- unsloth
- llama
---
## 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/mags0ft/Akelei-270M
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Akelei-270M-GGUF).***
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
## 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/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q3_K_S.gguf) | Q3_K_S | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q2_K.gguf) | Q2_K | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.IQ4_XS.gguf) | IQ4_XS | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q3_K_M.gguf) | Q3_K_M | 0.3 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q3_K_L.gguf) | Q3_K_L | 0.3 | |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q4_K_S.gguf) | Q4_K_S | 0.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q4_K_M.gguf) | Q4_K_M | 0.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q5_K_S.gguf) | Q5_K_S | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q5_K_M.gguf) | Q5_K_M | 0.4 | |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q6_K.gguf) | Q6_K | 0.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.Q8_0.gguf) | Q8_0 | 0.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Akelei-270M-GGUF/resolve/main/Akelei-270M.f16.gguf) | f16 | 0.6 | 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 -->