mradermacher/AHMA-7B-RAG-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/AHMA-7B-RAG-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-21 20:08:24 +08:00
commit 85b18cfe85
14 changed files with 146 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
AHMA-7B-RAG.f16.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
AHMA-7B-RAG.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
AHMA-7B-RAG.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2e1adfb350b6b1b091f5e407d7cbb9b1444db372c85fbcb70f1e6bc7b2579590
size 3826982400

3
AHMA-7B-RAG.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0c078823d3601d4c86016b7950e1907538c2fbe715d25596e6b4f199b9003eaa
size 2685491904

3
AHMA-7B-RAG.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4874289404dec7171510617008db07021c24b0a089e77faab9f8cc98f7caafed
size 3763158112

3
AHMA-7B-RAG.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:63f768ad6027f03b7f9f58386085308db777cb4373b77e67ecb0a901bc0f59df
size 3464051808

3
AHMA-7B-RAG.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:fa60cc8f6c83a00d8dc9fe1d23d0e8e166f9203beafe86f3139f64c6a08018e1
size 3114351712

3
AHMA-7B-RAG.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c33e70a0fb08388a364a1af6c27b6c1691fb22403d249d52a845fc1fcb734520
size 4264599168

3
AHMA-7B-RAG.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:81045964d543f4096cffd42e8152d8f66bd96527142dd73344445e1195a1738a
size 4040334976

3
AHMA-7B-RAG.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9dc97f14c51eba8f640ebb294f49b41d2d3afd3e53f2288b8ba605d5c8edfcd8
size 4983267456

3
AHMA-7B-RAG.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:505ffbf174e1c855ba41f2b554e937e3ae3fe132b78ca3d6feae5825a3dba3a2
size 4851802240

3
AHMA-7B-RAG.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8d8cba846ceb60df3efcb63651cb01a911d6106122ba6364a8d48cc8e8031503
size 5746852512

3
AHMA-7B-RAG.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bdaa8927df9f31e95a73e36d971256ac333331bdb76cc735990136f7d4ce1d01
size 7442745952

3
AHMA-7B-RAG.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ed40ad5f750b1a6c319ecf7141683d74c5d870c2886995fa33910aea7671f12a
size 14007494752

63
README.md Normal file
View File

@@ -0,0 +1,63 @@
---
base_model: RASMUS/AHMA-7B-RAG
language:
- en
library_name: transformers
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/RASMUS/AHMA-7B-RAG
<!-- 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/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q3_K_S.gguf) | Q3_K_S | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.IQ4_XS.gguf) | IQ4_XS | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q4_K_S.gguf) | Q4_K_S | 4.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q4_K_M.gguf) | Q4_K_M | 4.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q5_K_S.gguf) | Q5_K_S | 5.0 | |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q5_K_M.gguf) | Q5_K_M | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q6_K.gguf) | Q6_K | 5.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.Q8_0.gguf) | Q8_0 | 7.5 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/AHMA-7B-RAG-GGUF/resolve/main/AHMA-7B-RAG.f16.gguf) | f16 | 14.1 | 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 -->