mradermacher/Monarch-1-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/Monarch-1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-11 13:07:11 +08:00
commit 7deb31142f
14 changed files with 158 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
Monarch-1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.f16.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Monarch-1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Monarch-1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:95d10dbe9c477d50748c907693ad275c04a0f322c10e40a3a313f9b4a8401384
size 3948667776

3
Monarch-1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:87b56e7c60d6b68a6ceb13815d3862659cf6533b7608bf9a5c3da6b2e0aa54eb
size 2722882432

3
Monarch-1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:989c4c6842819f268a204e807745769f78e566c4921c123fe5636a866ef5dfcc
size 3825984384

3
Monarch-1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:97e48576d43ce1b971003a78a5289b71680086078b361a83951ec4073a8996da
size 3522945920

3
Monarch-1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:256d493bb3f7380472aeff52230a008c0e3f8598ff4acfff7c878458bf159778
size 3168527232

3
Monarch-1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e96e6138db5748b02462a317ae3e7c3c57e987d3a5d8f266eca69dc96b27f52b
size 4372816768

3
Monarch-1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f0c1dfd8faff01c9d7b95efe047418d2dd3aaca1a53aa937714dd313c311a565
size 4144751488

3
Monarch-1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c40fca5e4e3943cf1bff1738a84d713e85c2c5bb30d494ae7ad20a9a031b64fb
size 5136180096

3
Monarch-1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4132145dc800feab01e2390ccd5980aca1363adff992c3278896f17b642601bd
size 5002486656

3
Monarch-1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:594e1be5588d61b6ff6bd331a267de51faa590caa61db2bc0ee626ce75823864
size 5947253632

3
Monarch-1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ae8eb7b201ababeb4efc6cc6b3efbe457d6767402139b17dc5586c38c6264244
size 7702569856

3
Monarch-1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6697e861099e03f67513811b889c91391a987e4e8384c598ab8ccd3d4fc66496
size 14497342336

75
README.md Normal file
View File

@@ -0,0 +1,75 @@
---
base_model: AfricaComputeFund/Monarch-1
datasets:
- custom-curated-african-dataset
language:
- en
library_name: transformers
license: other
quantized_by: mradermacher
tags:
- autotrain
- text-generation-inference
- text-generation
- peft
- africa
- monarch
- monarch-1
- fine-tuning
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/AfricaComputeFund/Monarch-1
<!-- 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/Monarch-1-GGUF/resolve/main/Monarch-1.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Monarch-1-GGUF/resolve/main/Monarch-1.f16.gguf) | f16 | 14.6 | 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 -->