Downloads · 30 days
202
7% of all-time downloads
Gen-9B-v1.1-PT-exp3-GGUF
mradermacher/Gen-9B-v1.1-PT-exp3-GGUF
Gen-9B-v1.1-PT-exp3-GGUF is a text generation model from mradermacher. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
static quants of https://huggingface.co/researchsoca/Gen-9B-v1.1-PT-exp3
All-time downloads
3K
Public
Repo size
96.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf96.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Access
- Public
- Created
- Aug 10, 2024
- Updated
- Aug 10, 2024
- SHA
- fe35a68d
Base models
Datasets
Model card
From the Hugging Face model README
About
<!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: -->static quants of https://huggingface.co/researchsoca/Gen-9B-v1.1-PT-exp3
<!-- 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 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 | Q2_K | 3.9 | |
| GGUF | IQ3_XS | 4.2 | |
| GGUF | IQ3_S | 4.4 | beats Q3_K* |
| GGUF | Q3_K_S | 4.4 | |
| GGUF | IQ3_M | 4.6 | |
| GGUF | Q3_K_M | 4.9 | lower quality |
| GGUF | Q3_K_L | 5.2 | |
| GGUF | IQ4_XS | 5.3 | |
| GGUF | Q4_K_S | 5.6 | fast, recommended |
| GGUF | Q4_K_M | 5.9 | fast, recommended |
| GGUF | Q5_K_S | 6.6 | |
| GGUF | Q5_K_M | 6.7 | |
| GGUF | Q6_K | 7.7 | very good quality |
| GGUF | Q8_0 | 9.9 | fast, best quality |
| GGUF | f16 | 18.6 | 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.
<!-- end -->- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Languages
- id, en
- Created
- Aug 10, 2024
- Updated
- Aug 10, 2024