111 lines
4.7 KiB
Markdown
111 lines
4.7 KiB
Markdown
|
---
|
|||
|
|
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):
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
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 -->
|