mradermacher/MemOperator-1.7B-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/MemOperator-1.7B-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-14 20:16:17 +08:00
commit 15a7f92b92
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
MemOperator-1.7B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
MemOperator-1.7B.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
MemOperator-1.7B.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:45937b71099d754fe60c696e78fbaba418cf35be1d10a16608f62fa06aa4847b
size 1016281248

3
MemOperator-1.7B.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d0f96c202981db1d97dbe6041195f0a6dd6f77f19ed76a8a92ba56219db2269f
size 777795744

3
MemOperator-1.7B.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6fd3990a1f8f15b6272d603cef22e98ee86dc31452e994d09c343679369e4c94
size 1003501728

3
MemOperator-1.7B.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5f54d1620bc28a5f4d70147e890dd65d780d895a3330b0d9dc720da2913167f6
size 939538592

3
MemOperator-1.7B.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1a73fc673ad780058a9930e32f10c9aa9d180cde11807b28d5e69d4cc368855e
size 867252384

3
MemOperator-1.7B.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c1e2c8662327842b71a3e6ddd60218705f1939928bb41c4164c75b8969c9cdf9
size 1107409056

3
MemOperator-1.7B.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2cb666380219b0b049019d9ea3ecbe375cb5d26f53b0be9922e183eedd05c5f9
size 1060190368

3
MemOperator-1.7B.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7a8db92453b0d74b13a47230ca5787f52baad430d36573eabf17ebf83cbfceee
size 1257879712

3
MemOperator-1.7B.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:187d2620793da86f02fe48137747177b78fd2beab792c5fc70069cff1178bf9f
size 1230583968

3
MemOperator-1.7B.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6650002191c8e788c3c931e25353d82d7be58ac04c602b268f41f1409e1b2b47
size 1417754784

3
MemOperator-1.7B.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aa83fcc72b6e88234448bf12fc2292f352a5111cb2905be209e41b2dd091365c
size 1834426528

3
MemOperator-1.7B.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:12f1d0738bfe75d315cf6da3140a229034868463804f8e7544fe1b7d38c49056
size 3447349408

73
README.md Normal file
View File

@@ -0,0 +1,73 @@
---
base_model: MemTensor/MemOperator-1.7B
language:
- en
- zh
library_name: transformers
license: apache-2.0
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/MemTensor/MemOperator-1.7B
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MemOperator-1.7B-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/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q2_K.gguf) | Q2_K | 0.9 | |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q3_K_S.gguf) | Q3_K_S | 1.0 | |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q3_K_M.gguf) | Q3_K_M | 1.0 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q3_K_L.gguf) | Q3_K_L | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.IQ4_XS.gguf) | IQ4_XS | 1.1 | |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q4_K_S.gguf) | Q4_K_S | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q4_K_M.gguf) | Q4_K_M | 1.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q5_K_S.gguf) | Q5_K_S | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q5_K_M.gguf) | Q5_K_M | 1.4 | |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q6_K.gguf) | Q6_K | 1.5 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.Q8_0.gguf) | Q8_0 | 1.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/MemOperator-1.7B-GGUF/resolve/main/MemOperator-1.7B.f16.gguf) | f16 | 3.5 | 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 -->