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Model: mradermacher/Yehia-7B-preview-GGUF
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---
base_model: Navid-AI/Yehia-7B-preview
extra_gated_fields:
City: text
Company/Institution: text
Country: country
Full Name: text
? I acknowledge and agree that I will not use this model for any commercial purpose
without obtaining prior written permission from Navid
: type: checkbox
I have read and agree to the Navid License Terms associated with this model:
type: checkbox
Industry:
options:
- Government / Public Sector
- Legal / Compliance
- Healthcare
- Finance / Banking
- Insurance
- Education / Research
- Technology / Software
- Telecommunications
- Energy / Utilities
- Oil & Gas
- Retail / E-commerce
- Manufacturing / Industrial
- Transportation / Logistics
- Media / Marketing
- Non-profit / NGO
- Consulting
- label: Other
value: other
type: select
Job Title: text
Phone Number (Optional — enter "N/A" if you prefer not to share): text
Privacy Notice:
options:
- I understand that these details will not be shared with third parties.
type: select
Purpose for Download: text
extra_gated_prompt: |
By requesting access, you confirm that you will use this model responsibly and in accordance with Navid’s licensing and usage policies. You also agree not to use this model to conduct experiments that cause harm to human subjects.
language:
- ar
- en
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: -->
static quants of https://huggingface.co/Navid-AI/Yehia-7B-preview
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Yehia-7B-preview-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/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q2_K.gguf) | Q2_K | 2.8 | |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q3_K_S.gguf) | Q3_K_S | 3.2 | |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.IQ4_XS.gguf) | IQ4_XS | 3.9 | |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q4_K_S.gguf) | Q4_K_S | 4.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q4_K_M.gguf) | Q4_K_M | 4.4 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q5_K_S.gguf) | Q5_K_S | 5.0 | |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q5_K_M.gguf) | Q5_K_M | 5.1 | |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q6_K.gguf) | Q6_K | 5.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.Q8_0.gguf) | Q8_0 | 7.5 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Yehia-7B-preview-GGUF/resolve/main/Yehia-7B-preview.f16.gguf) | f16 | 14.1 | 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 -->

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