mradermacher/BaobabAI-v0.4-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/BaobabAI-v0.4-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-01 08:43:17 +08:00
commit e71fcdc713
14 changed files with 160 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
BaobabAI-v0.4.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
BaobabAI-v0.4.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
BaobabAI-v0.4.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4b71a9621e04fcbedaa8adbb9bd9604da557f13f9fd50c1593278d9e76471c36
size 1840907360

3
BaobabAI-v0.4.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2e12e3d558376b8199ccdae4ab2f4118fbb06eb6205949e7c2a4b7eaf487bf47
size 1363936352

3
BaobabAI-v0.4.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c119fdae7318fe49b4cc51d291bc9199ae4d444c0adb089c2ddac6119ad568c1
size 1815348320

3
BaobabAI-v0.4.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2052ca189dde4d70e507774ac728911512c52cd235664e8b91a3a2bc46f71361
size 1687159904

3
BaobabAI-v0.4.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:af5466f5c1b31e5a57fda3161cafbda11ae7a37b6cddcff2d61e2072ed48a020
size 1542849632

3
BaobabAI-v0.4.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1505d01584140126a3b051dc1bf7a318006f7f3329b223a484b0aaf09d2f0082
size 2019378272

3
BaobabAI-v0.4.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:49ff8a18cf06d53daf4bce4dc9bc0b98dcd3a42a8f64ab1c5e64daf6c5e35447
size 1928201312

3
BaobabAI-v0.4.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e9735fc109dc400b9e03f7fa8606d475fcb07e88a5fc409970375b9ac185e246
size 2322154592

3
BaobabAI-v0.4.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:550ea77c5015e55cf8e4aab550d31c9ca5d62fc6caf0b2b2ae31997abbb09da6
size 2269512800

3
BaobabAI-v0.4.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f8b898edff892a53a3e94865ea9de559e2b2fe5c4513d9aae9ad776708c2cb92
size 2643854432

3
BaobabAI-v0.4.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d4ee8d8fb939ed5e8326eea97663169d81e68a4a65102c69a84e9c705accd82b
size 3421899872

3
BaobabAI-v0.4.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:37e45bce854ffd73fd183eb4e165e9a65143e295a1b5d7693cdac72cf17c4bd1
size 6433688672

77
README.md Normal file
View File

@@ -0,0 +1,77 @@
---
base_model: okaforpascal40/BaobabAI-v0.4
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- text-generation-inference
- 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/okaforpascal40/BaobabAI-v0.4
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#BaobabAI-v0.4-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/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q2_K.gguf) | Q2_K | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q3_K_L.gguf) | Q3_K_L | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.IQ4_XS.gguf) | IQ4_XS | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q5_K_M.gguf) | Q5_K_M | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q6_K.gguf) | Q6_K | 2.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.Q8_0.gguf) | Q8_0 | 3.5 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/BaobabAI-v0.4-GGUF/resolve/main/BaobabAI-v0.4.f16.gguf) | f16 | 6.5 | 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 -->