mradermacher/LLAMA3-8b-LIMA-Alpaca-style-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/LLAMA3-8b-LIMA-Alpaca-style-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-08-02 03:53:17 +08:00
commit 9a2607a127
17 changed files with 162 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

50
.gitattributes vendored Normal file
View File

@@ -0,0 +1,50 @@
*.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
LLAMA3-8b-LIMA-Alpaca-style.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.f16.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LLAMA3-8b-LIMA-Alpaca-style.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
LLAMA3-8b-LIMA-Alpaca-style.IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a92cf6122234f3c244915e85b47aef39678a22ff16e62a9f40db5f40c72fbecd
size 3784823360

3
LLAMA3-8b-LIMA-Alpaca-style.IQ3_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:152837b452924ace3e65afb7f333f5fdabb0c9b2efa44d1e0e4961416b28bda2
size 3682325056

3
LLAMA3-8b-LIMA-Alpaca-style.IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ffa9a8f603ed1dff3e5ccc75e8f909f1efae70365387421d61a95ecc3148e27e
size 3518747200

3
LLAMA3-8b-LIMA-Alpaca-style.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4d722131af56c759f8506ee3830b110b5f840b229a2a02825ad8c215cd5a7ec1
size 4484362816

3
LLAMA3-8b-LIMA-Alpaca-style.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:274a4c319ab42cf5c74ccb4ae1f590f69eeae4c474d2264d53174de33d9d7f7d
size 3179131456

3
LLAMA3-8b-LIMA-Alpaca-style.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ec15454054a4878712f60aea7d64fbc0d7f7e4b739bede799bdcd441dd3df6dc
size 4321956416

3
LLAMA3-8b-LIMA-Alpaca-style.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:965e94fc96ccae1aabfe9ea85bbd6732eba3f9555df8cd8afc38876dbfac81d4
size 4018917952

3
LLAMA3-8b-LIMA-Alpaca-style.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3db7959f0a7555e6af806f7b5b8c58409e615b0d193b807a72bfe2ea4653f231
size 3664499264

3
LLAMA3-8b-LIMA-Alpaca-style.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:efe3ebc6534bed97886248dff57c488f5bd8d05715d581eae847f59faebffa36
size 4920734272

3
LLAMA3-8b-LIMA-Alpaca-style.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:845ea504fa2f9caa878c657c435451c16012fc3ec81deb798c89ea0dc3f2024f
size 4692668992

3
LLAMA3-8b-LIMA-Alpaca-style.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db19b40ddd96746db3810647863f1780e3e02395e772e4cd82fe81bb5869149f
size 5732987456

3
LLAMA3-8b-LIMA-Alpaca-style.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0c345c054c18c0b9cfa597d06995bd1465dd5c48993801dcd797f514c893be9f
size 5599294016

3
LLAMA3-8b-LIMA-Alpaca-style.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e267a059abc76d853893ea65f4b08f0eab7ab096e2033847d3f8a566f8846661
size 6596006464

3
LLAMA3-8b-LIMA-Alpaca-style.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ef968fe458bafeab38f404e404f513df3ae6e73007575b8e8921a87acfd38d0
size 8540770880

3
LLAMA3-8b-LIMA-Alpaca-style.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:621255703780b798e8376cb644043ce5ea9c409633ad45e9704c233a0446ffea
size 16068891200

67
README.md Normal file
View File

@@ -0,0 +1,67 @@
---
base_model: Essacheez/LLAMA3-8b-LIMA-Alpaca-style
language:
- en
library_name: transformers
quantized_by: mradermacher
tags: []
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/Essacheez/LLAMA3-8b-LIMA-Alpaca-style
<!-- provided-files -->
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/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q2_K.gguf) | Q2_K | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.IQ3_XS.gguf) | IQ3_XS | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q3_K_S.gguf) | Q3_K_S | 3.8 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.IQ3_M.gguf) | IQ3_M | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q3_K_L.gguf) | Q3_K_L | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q5_K_S.gguf) | Q5_K_S | 5.7 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q5_K_M.gguf) | Q5_K_M | 5.8 | |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LLAMA3-8b-LIMA-Alpaca-style-GGUF/resolve/main/LLAMA3-8b-LIMA-Alpaca-style.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 -->