mradermacher/Llama-Deepsync-1B-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-Deepsync-1B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-16 20:07:10 +08:00
commit ac4ce33e60
14 changed files with 162 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-Deepsync-1B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Llama-Deepsync-1B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
Llama-Deepsync-1B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2871f874915d4b6289b7d5449834ec5252e8e97d65de4d2f572a39ede2f26c9b
size 748385728

3
Llama-Deepsync-1B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d09297fc876b8127324eb54f074445e50ab004477ec9f72a65e5f9f64088a52a
size 580875712

3
Llama-Deepsync-1B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dd4beb69b59460470f8354e36e44d1f7bb657ef748eb252e893cb29682e50343
size 732526016

3
Llama-Deepsync-1B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:71a01af52d9e2fa61af3c955d0bf87a66dbc0c91aec26bea607137943236079c
size 690845120

3
Llama-Deepsync-1B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:959e1af911f6e9859a7b695604228fe6b1a4720f28d10bbb2d5dd1f401c9dc77
size 641693120

3
Llama-Deepsync-1B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9912dcafb1171e2278296b7ddd40d848d834506058436a46fec802c564733e05
size 807695808

3
Llama-Deepsync-1B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b6712b4c8f45436c37a9e251d83112f117bcb63ea3264751bac398542d4bd91f
size 775648704

3
Llama-Deepsync-1B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:760429df2d89937d0798957c5dbd90c2233e63e92f47f364edea60f95a32ea29
size 911504832

3
Llama-Deepsync-1B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:20f8447bb34e65dbd37544fed017c9207365edbfd82ca0f0cf5781568e081575
size 892564928

3
Llama-Deepsync-1B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:68200a53f47ed50e54b23ad79d3062e7fe3f98af729ed289c2d8cd366ff6fe78
size 1021801920

3
Llama-Deepsync-1B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1fa8e97bbed045934198d101ad2d12e91c531c517905953e2b203d0d60ec6c0f
size 1321084352

3
Llama-Deepsync-1B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:eb44b9fa23f6efb79bc149d57d4fd4223bd54cfb487e8c81a46b63d602725586
size 2479596992

79
README.md Normal file
View File

@@ -0,0 +1,79 @@
---
base_model: prithivMLmods/Llama-Deepsync-1B
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
library_name: transformers
license: creativeml-openrail-m
quantized_by: mradermacher
tags:
- text-generation-inference
- Llama
- Code
- CoT
- Math
- Deepsync
- 3b
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/prithivMLmods/Llama-Deepsync-1B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-Deepsync-1B-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/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q2_K.gguf) | Q2_K | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q3_K_S.gguf) | Q3_K_S | 0.7 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q3_K_L.gguf) | Q3_K_L | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.IQ4_XS.gguf) | IQ4_XS | 0.8 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q5_K_S.gguf) | Q5_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q5_K_M.gguf) | Q5_K_M | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Llama-Deepsync-1B-GGUF/resolve/main/Llama-Deepsync-1B.f16.gguf) | f16 | 2.6 | 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 -->