mradermacher/LLaMA3-MI-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/LLaMA3-MI-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-09-16 19:14:16 +08:00
commit 51e426c818
14 changed files with 152 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
LLaMA3-MI.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
LLaMA3-MI.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
LLaMA3-MI.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9353104a023c02b337cf6072de6af826d126ec1b9a8625b01f7a56230fcf76ff
size 4484363488

3
LLaMA3-MI.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:68e52904446eb2c6a5ebec4a5d9538bc14ca764bd040b3b88017d5e269c76621
size 3179132128

3
LLaMA3-MI.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:02b54fb2486bab4c0c26df454238a8b387994ecf5259a1cc9cdc5b8e30ef0887
size 4321957088

3
LLaMA3-MI.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b37e66bd481c47526e042c4cc826cc7c6a6946fc225263cbe11626021238cd3a
size 4018918624

3
LLaMA3-MI.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:17a847bbdf22e04dfc4ff09524e25551802693410d189d18fc2b2269fe598e50
size 3664499936

3
LLaMA3-MI.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d0477b49dce804f328ed31e372af41aa2e4d70b0e41fecee1ba2f9b2014e870
size 4920734944

3
LLaMA3-MI.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:62c27269ba9ea92b4c190033ca1c0af9d3247b1dd9f90fb5a605d11fe93ddae7
size 4692669664

3
LLaMA3-MI.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:17e11e3245414d8e37be022fafcd9d627934fcd64d38c7052c7736141a56ffe6
size 5732988128

3
LLaMA3-MI.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a2d69bfa5dbe22eeae0de5c04d49f62ddf1fc2d64473a05c6dcf1815d12b19c7
size 5599294688

3
LLaMA3-MI.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0aa0d286c2c1e66cf9e5bcbc070ae0ef8721428dbba7ff0fcc265135ef9504e8
size 6596007136

3
LLaMA3-MI.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:437f89a615d6216df9a2e227a6b00ec26b44f042fde1d29880d6bf2b6b8fd7ac
size 8540771552

3
LLaMA3-MI.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9c0b06463a483643e908823651a869e09b4b28e3292dc59e4b141301a5b1454d
size 16068891872

69
README.md Normal file
View File

@@ -0,0 +1,69 @@
---
base_model: aialt/LLaMA3-MI
language:
- en
library_name: transformers
license: llama3
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/aialt/LLaMA3-MI
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LLaMA3-MI-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/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LLaMA3-MI-GGUF/resolve/main/LLaMA3-MI.f16.gguf) | f16 | 16.2 | 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 -->