mradermacher/Llama-3B-Mono-Ceylia-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/Llama-3B-Mono-Ceylia-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-15 10:52:16 +08:00
commit 10db40a2f0
14 changed files with 156 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
Llama-3B-Mono-Ceylia.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Llama-3B-Mono-Ceylia.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Llama-3B-Mono-Ceylia.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4e6c185ca41e9bb4fedf7b15b6b3920629f3e531dae9cac2746feffe61cc495e
size 1914097728

3
Llama-3B-Mono-Ceylia.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4a12f2a0757761c8ae83ca028b1840d27024028270a48995b653e6ec7b8b2c1d
size 1437126720

3
Llama-3B-Mono-Ceylia.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0739249dc398e5317b03b8f4dbbf37a5f48f63ba1ed248c637dba8fd29071bbe
size 1888538688

3
Llama-3B-Mono-Ceylia.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0c9d7f7b07b44fe34a291a133128ce6eebcbd67f6886c22e7755c3768673a1eb
size 1760350272

3
Llama-3B-Mono-Ceylia.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:11b973c63826a0f42bdfb1aaacb41b4f1fac5025f1d33b46350f1308f6ba365d
size 1616040000

3
Llama-3B-Mono-Ceylia.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:903bf01965ce61e090581f4de35b871551899ae632c339e072e8c04f680937f5
size 2092568640

3
Llama-3B-Mono-Ceylia.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2a9ba0aa80af65d58532fb2767b681671dc366c76b20ce29902b294d72b1c2a0
size 2001391680

3
Llama-3B-Mono-Ceylia.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f98852549af639f7c67a05b31fedc027d7c5b061293687816a734567dc328de9
size 2395344960

3
Llama-3B-Mono-Ceylia.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:20f5dd1bc27b39955e93bf92e7345d7840bcf09af2a9b8f63231b92c58be97cd
size 2342703168

3
Llama-3B-Mono-Ceylia.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1a0d5da57994b2cf8b4f9cde47026f1288b4d2eda70c80ab89951d9b11656764
size 2717044800

3
Llama-3B-Mono-Ceylia.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:049652158941044cf9b3aec53dd45722151d620564577bd2f446adb81e5f756e
size 3516431136

3
Llama-3B-Mono-Ceylia.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:578ca8bdf3ee4767e77dc6b29e59445cb0e2084056f9ec01b18b41569f6d8ea7
size 6610829856

73
README.md Normal file
View File

@@ -0,0 +1,73 @@
---
base_model: prithivMLmods/Llama-3B-Mono-Ceylia
language:
- en
library_name: transformers
license: llama3.2
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- Mono-Audio
- Voice:Ceylia
- 3B
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/prithivMLmods/Llama-3B-Mono-Ceylia
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3B-Mono-Ceylia-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/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q2_K.gguf) | Q2_K | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q3_K_S.gguf) | Q3_K_S | 1.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q3_K_M.gguf) | Q3_K_M | 1.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q3_K_L.gguf) | Q3_K_L | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.IQ4_XS.gguf) | IQ4_XS | 2.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q4_K_S.gguf) | Q4_K_S | 2.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q4_K_M.gguf) | Q4_K_M | 2.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-3B-Mono-Ceylia-GGUF/resolve/main/Llama-3B-Mono-Ceylia.f16.gguf) | f16 | 6.7 | 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 -->