mradermacher/PyRAG-7b-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/PyRAG-7b-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-26 12:31:15 +08:00
commit 86bd4b6cad
14 changed files with 154 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
PyRAG-7b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.f16.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
PyRAG-7b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
PyRAG-7b.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c956b4c6211e88b339d02c043aeeb303d6597b3c8508a93457d58db3ff1e4786
size 4250298752

3
PyRAG-7b.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1481dd73f8bef806a3f79f08f02ec8d8f2e1f4e5f81ef9fee8e020f7ac73ce6c
size 3015940480

3
PyRAG-7b.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f996b44be1efb146adce194dd52b3a720b9e862e566d7fa3d3a20cf019b5d048
size 4088459648

3
PyRAG-7b.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c8d074f9dd9b5420da694bccb485501bb9e4e02901c180efb8effd786edde19e
size 3808391552

3
PyRAG-7b.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0f8502abc5d758ac2890c5ed86913ba065099ec19c809dc46ea6dbcf911e0549
size 3492368768

3
PyRAG-7b.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:550d8b308aab999c0efd0a1a5733e2d75d5ee0c6a1f59fcb93bd7c9464f64c0d
size 4683073920

3
PyRAG-7b.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:00225398c579d7aadc3991bcbaddd7fd2f202c2fc1793835bff4512057dd1d96
size 4457769344

3
PyRAG-7b.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:60613e55990b8559d4ac89094cad4e68bd4a400a0d8d4ebb34ed12485841aac2
size 5444831616

3
PyRAG-7b.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b76538768494081e72e0e4cdaeea23a86af625a033200085b2bd43204dd4003e
size 5315176832

3
PyRAG-7b.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:df73d6b56b1643670fdb84a72af4f34ca4bf192b4ee06a86a6020315ac9a1ae1
size 6254199168

3
PyRAG-7b.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db6bbde61d3eb85e3a9c03b43cea0e2ef5280a968f5f69bdd1e760f385936b90
size 8098525568

3
PyRAG-7b.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b9ae27e73b8d8cb5a17a59c9f5cd61adf5fc809646850964b5f6a5be8fe08687
size 15237853568

71
README.md Normal file
View File

@@ -0,0 +1,71 @@
---
base_model: gasolsun/PyRAG-7b
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static quants of https://huggingface.co/gasolsun/PyRAG-7b
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#PyRAG-7b-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/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q2_K.gguf) | Q2_K | 3.1 | |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/PyRAG-7b-GGUF/resolve/main/PyRAG-7b.f16.gguf) | f16 | 15.3 | 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 -->