mradermacher/LlaMa-DUSFT-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-DUSFT-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-31 07:19:16 +08:00
commit d380895be0
14 changed files with 149 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-DUSFT.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.f16.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
LlaMa-DUSFT.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
LlaMa-DUSFT.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5b591a13320cc3dac81d0c8be4120309931bf7614e5910ff70ecabafdf7352ab
size 4514923808

3
LlaMa-DUSFT.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a4cc3f307b35576f38c9cac848030d3fc01d6f20fd7cfa6b4ca08344e9a53349
size 3128263968

3
LlaMa-DUSFT.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1b245c36a42cbc0a22d949f6b3ad66be37e5cf8d69c678833634a01789eb7be0
size 4455245088

3
LlaMa-DUSFT.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:23b685dc66745cedcbff592620e49d86c95f61e6bcb4da367c5bddbf2f452bd4
size 4077495584

3
LlaMa-DUSFT.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f46a6c1c098f1537ce537df8c75eb7d64248c76b1443f5dd68ceadb77079dcd6
size 3644237088

3
LlaMa-DUSFT.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bd216e03c8b6db3d60955a432fa4cd4b6e8002c8ff5d842ed6ab439c7f1e45ac
size 5055759648

3
LlaMa-DUSFT.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:75121273f159b5b665d3aaf647337b59d262b6cfec733503a9bcce1cfac7735e
size 4773332256

3
LlaMa-DUSFT.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28f33d485f37306268b1ee6c62273e631cabd659f260b9f54d1a6e47fef5792b
size 5929354528

3
LlaMa-DUSFT.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9a603818b3efbda0fe37616fb70cc30ae505abf1a5b5ccfc2dfbffc8acd46cf8
size 5765023008

3
LlaMa-DUSFT.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dd762c9f0d7c3103c26014305ae5bb3f7418bc07c36d7dfe7503857d3382051a
size 6857549088

3
LlaMa-DUSFT.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8841f7d06b9f5ac0481246f6f0c2beb12f4f6c8eec13add14b497947fc3ca3af
size 8881546528

3
LlaMa-DUSFT.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:22ab6d7df4cf9a77d644dddd1e6ffb6653acc36350ef8cc8613b172f901cfd7e
size 16716375328

66
README.md Normal file
View File

@@ -0,0 +1,66 @@
---
base_model: leftfooted/LlaMa-DUSFT
datasets:
- Open-Orca/OpenOrca
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/leftfooted/LlaMa-DUSFT
<!-- 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/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q2_K.gguf) | Q2_K | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q3_K_S.gguf) | Q3_K_S | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q3_K_M.gguf) | Q3_K_M | 4.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q3_K_L.gguf) | Q3_K_L | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.IQ4_XS.gguf) | IQ4_XS | 4.6 | |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q4_K_S.gguf) | Q4_K_S | 4.9 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q4_K_M.gguf) | Q4_K_M | 5.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q5_K_S.gguf) | Q5_K_S | 5.9 | |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q5_K_M.gguf) | Q5_K_M | 6.0 | |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q6_K.gguf) | Q6_K | 7.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.Q8_0.gguf) | Q8_0 | 9.0 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/LlaMa-DUSFT-GGUF/resolve/main/LlaMa-DUSFT.f16.gguf) | f16 | 16.8 | 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 -->