mradermacher/PyNanoLM-v0.1-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/PyNanoLM-v0.1-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-05-25 00:06:17 +08:00
commit b9fbd475ba
14 changed files with 160 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
PyNanoLM-v0.1.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
PyNanoLM-v0.1.f16.gguf filter=lfs diff=lfs merge=lfs -text

3
PyNanoLM-v0.1.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:de6aa958f101c667104f4e50dab85786e7537267acc8a75188488c885e35024e
size 91313984

3
PyNanoLM-v0.1.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:01bf7c4dd914de2856106705783a89880c7f5b667ee25bcaae8ed869bda6018d
size 88203584

3
PyNanoLM-v0.1.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0de44287864ac0359c951298e0c3baabbf757e34f961473e51ccad2e9556c949
size 97534784

3
PyNanoLM-v0.1.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0ecfeb7fa7cd8151e18c2454dff994aece63ab5c7dc3547f239330547182967f
size 93512000

3
PyNanoLM-v0.1.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:29f1a23af7e91524576368bf9c08f39c33d64332552a644a272d3442f9b933f2
size 88203584

3
PyNanoLM-v0.1.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9fa57f62cffa956cc7f3b95bed218350f085216f8227beb1b90da1c68e8f3748
size 105455936

3
PyNanoLM-v0.1.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9dfff3edc9c148c04086d589bb449f9ec1e48b829bcf02da76189598486fb5ed
size 102041408

3
PyNanoLM-v0.1.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:694683d78016f06ff8cae859c8eaec5b930e2b947d10e0960a03f451fa30eda7
size 112105280

3
PyNanoLM-v0.1.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:29efdeeb8780b8674024c509ff618f4dbe4c4742c483f1bd33c0ebbf17d627c2
size 109976384

3
PyNanoLM-v0.1.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:400903b2bf3d5d50268400bcf7146bd5507c8c5c8e427b0d6a55abc19dc14c9d
size 138384704

3
PyNanoLM-v0.1.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5310d4142721fa3256a9e11e2d03ea914c1acc77b55504c660ca26c15de50b4a
size 144812864

3
PyNanoLM-v0.1.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:378c538c34e30fa426932a254787644ff3782992b8920e6bed9e873e603f7aca
size 270887744

77
README.md Normal file
View File

@@ -0,0 +1,77 @@
---
base_model: ShubhamSinghCodes/PyNanoLM-big
datasets:
- AI-MO/NuminaMath-CoT
- TIGER-Lab/MathInstruct
- Vezora/Tested-143k-Python-Alpaca
- glaiveai/glaive-code-assistant-v2
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
- python
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/ShubhamSinghCodes/PyNanoLM-big
<!-- 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/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q2_K.gguf) | Q2_K | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q3_K_S.gguf) | Q3_K_S | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.IQ4_XS.gguf) | IQ4_XS | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q3_K_L.gguf) | Q3_K_L | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q5_K_S.gguf) | Q5_K_S | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q5_K_M.gguf) | Q5_K_M | 0.2 | |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q6_K.gguf) | Q6_K | 0.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.Q8_0.gguf) | Q8_0 | 0.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/PyNanoLM-v0.1-GGUF/resolve/main/PyNanoLM-v0.1.f16.gguf) | f16 | 0.4 | 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 -->