mradermacher/Lisa-v0.1-4b-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/Lisa-v0.1-4b-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-14 10:40:17 +08:00
commit f519460a4c
14 changed files with 151 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
Lisa-v0.1-4b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Lisa-v0.1-4b.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Lisa-v0.1-4b.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a195d7a8cf1a07f5f8dbc9f6e647534514f027665b79bf82e9d191334ab04c4e
size 2286316608

3
Lisa-v0.1-4b.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f3ba6078f96159c822224c09bcf8f04041870d5853f658cdb09ebecd4fed9c5c
size 1669499968

3
Lisa-v0.1-4b.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e92f7e710cf640365537b25ad1f753ee8574a9b4ba0a51c8f32801eff93784b9
size 2239786048

3
Lisa-v0.1-4b.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2a116cca272eb4bfd0b9f307e9c79714dc09c21849416a0d71375e0e20575e04
size 2075618368

3
Lisa-v0.1-4b.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e990f941fef9c8db8d7ddec6fb22bd7ee29c20cfb5f84d0bb9ed123d7373c7f0
size 1886997568

3
Lisa-v0.1-4b.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3da41ca7e22c85606c705c3fa7451c056bb17354e09edf6fa4d3a5ce6fac807b
size 2497281088

3
Lisa-v0.1-4b.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:eb0ae5225106989e2ece1e863fc950fc93f18827cdf4d17b4fc84402bf43506c
size 2383309888

3
Lisa-v0.1-4b.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6edcf7f3bfc726965cadd0e162b68c2491d1ce316f17f1aabbbd8a27f8274360
size 2889514048

3
Lisa-v0.1-4b.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5dfb56a7ca13b4f863cd45d0efee5d6cc059e1b995d876bba6dabea0be90c2e4
size 2823711808

3
Lisa-v0.1-4b.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1ffc44391bb92de86d54082a6d58c47ee2ceb00711f47358dc5b89dddfab4077
size 3306261568

3
Lisa-v0.1-4b.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:58e43abc766084bba87b5c20400f190a91c574f4cf66d57fc42b291b134195d1
size 4280405568

3
Lisa-v0.1-4b.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bdec872218d9a4c96034002e60e9046b1d0f8b8edf1384409b8ecf9f8276c10c
size 8051285568

68
README.md Normal file
View File

@@ -0,0 +1,68 @@
---
base_model: richardbenson91477/Lisa-v0.1-4b
language:
- en
library_name: transformers
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/richardbenson91477/Lisa-v0.1-4b
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Lisa-v0.1-4b-GGUF).***
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Lisa-v0.1-4b-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/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q2_K.gguf) | Q2_K | 1.8 | |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q3_K_S.gguf) | Q3_K_S | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q3_K_L.gguf) | Q3_K_L | 2.3 | |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.IQ4_XS.gguf) | IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q5_K_S.gguf) | Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q5_K_M.gguf) | Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q6_K.gguf) | Q6_K | 3.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Lisa-v0.1-4b-GGUF/resolve/main/Lisa-v0.1-4b.f16.gguf) | f16 | 8.2 | 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 -->