đ Sam-reason-S2.1 Quantized Model
This project provides static quantizations of the Sam-reason-S2.1 model. It offers various quantized versions of the model, making it more accessible and efficient for different use cases.
đ Quick Start
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi - part files.
⨠Features
- Multiple Quantization Types: Offers a variety of quantized versions, sorted by size, providing options for different performance and quality requirements.
- Visual Comparison: Includes a graph comparing some lower - quality quant types for easy reference.
- Community Insights: Links to Artefact2's thoughts on quantization for additional information.
đĻ Installation
No specific installation steps are provided in the original document.
đ Documentation
About
Static quants of https://huggingface.co/Smilyai - labs/Sam - reason - S2.1. Weighted/imatrix quants are available at https://huggingface.co/mradermacher/Sam - reason - S2.1 - i1 - GGUF
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/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q3_K_S.gguf) |
Q3_K_S |
0.8 |
|
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q2_K.gguf) |
Q2_K |
0.8 |
|
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.IQ4_XS.gguf) |
IQ4_XS |
0.8 |
|
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q3_K_M.gguf) |
Q3_K_M |
0.8 |
lower quality |
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q3_K_L.gguf) |
Q3_K_L |
0.9 |
|
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q4_K_S.gguf) |
Q4_K_S |
0.9 |
fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q4_K_M.gguf) |
Q4_K_M |
0.9 |
fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q5_K_S.gguf) |
Q5_K_S |
0.9 |
|
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q5_K_M.gguf) |
Q5_K_M |
1.0 |
|
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q6_K.gguf) |
Q6_K |
1.1 |
very good quality |
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.Q8_0.gguf) |
Q8_0 |
1.2 |
fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Sam - reason - S2.1 - GGUF/resolve/main/Sam - reason - S2.1.f16.gguf) |
f16 |
2.1 |
16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower - quality quant types (lower is better):
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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
đ License
This project is under the MIT license.
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Transformers