đ Sanskrit-qwen-7B-Translate
This project offers static quantizations of the Sanskrit-qwen-7B-Translate model, facilitating its use in various applications. It provides multiple quantization types for different needs, including high-quality and fast options.
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 quantization types such as Q2_K, Q3_K_S, etc., sorted by size, providing options for different performance and quality requirements.
- Visual Comparison: Includes a graph comparing lower - quality quant types, helping users make informed decisions.
- Community Support: Allows users to request weighted/imatrix quants through Community Discussions if they are not available.
đĻ Installation
No specific installation steps are provided in the original document.
đģ Usage Examples
No code examples are provided in the original document.
đ Documentation
About
This is a static quantization of the model from https://huggingface.co/diabolic6045/Sanskrit-qwen-7B-Translate. 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.
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 |
Q2_K |
3.1 |
|
| GGUF |
Q3_K_S |
3.6 |
|
| GGUF |
Q3_K_M |
3.9 |
lower quality |
| GGUF |
Q3_K_L |
4.2 |
|
| GGUF |
IQ4_XS |
4.4 |
|
| GGUF |
Q4_K_S |
4.6 |
fast, recommended |
| GGUF |
Q4_K_M |
4.8 |
fast, recommended |
| GGUF |
Q5_K_S |
5.4 |
|
| GGUF |
Q5_K_M |
5.5 |
|
| GGUF |
Q6_K |
6.4 |
very good quality |
| GGUF |
Q8_0 |
8.2 |
fast, best quality |
| GGUF |
f16 |
15.3 |
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§ Technical Details
No technical details are provided in the original document.
đ License
The license for this project is apache - 2.0.
| Property |
Details |
| Base Model |
diabolic6045/Sanskrit-qwen-7B-Translate |
| Datasets |
diabolic6045/Sanskrit-llama |
| Language |
en |
| Library Name |
transformers |
| License |
apache-2.0 |
| Quantized By |
mradermacher |
| Tags |
sanskrit, translation, qwen, axolotl |
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Transformers