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Blitz-AI-ULTRA-GGUF
mradermacher/Blitz-AI-ULTRA-GGUF
Blitz-AI-ULTRA-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
weighted/imatrix quants of https://huggingface.co/DenisTheDev/Blitz-AI-ULTRA
Access
Public
Updated Nov 18, 2024
Repo size
1.8 TB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.part1of2505 GB · 29%
At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Mar 27, 2024
- Updated
- Nov 18, 2024
- SHA
- 0a984440
Base models
Model card
From the Hugging Face model README
About
weighted/imatrix quants of https://huggingface.co/DenisTheDev/Blitz-AI-ULTRA
<!-- provided-files -->weighted/imatrix quants are available at https://huggingface.co/mradermacher/Blitz-AI-ULTRA-i1-GGUF
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 |
|---|---|---|---|
| PART 1 PART 2 | Q2_K | 51.6 | |
| PART 1 PART 2 | IQ3_XS | 56.7 | |
| PART 1 PART 2 | IQ3_S | 59.6 | beats Q3_K* |
| PART 1 PART 2 | Q3_K_S | 59.6 | |
| PART 1 PART 2 | IQ3_M | 62.7 | |
| PART 1 PART 2 | Q3_K_M | 66.3 | lower quality |
| PART 1 PART 2 | Q3_K_L | 72.1 | |
| PART 1 PART 2 | IQ4_XS | 73.1 | |
| PART 1 PART 2 | Q4_0 | 76.5 | fast, low quality |
| PART 1 PART 2 | IQ4_NL | 76.9 | prefer IQ4_XS |
| PART 1 PART 2 | Q4_K_S | 77.0 | fast, recommended |
| PART 1 PART 2 | Q4_K_M | 81.4 | fast, recommended |
| PART 1 PART 2 | Q5_K_S | 92.3 | |
| PART 1 PART 2 | Q5_K_M | 94.9 | |
| PART 1 PART 2 PART 3 | Q6_K | 109.2 | very good quality |
| PART 1 PART 2 PART 3 | Q8_0 | 139.9 | fast, best quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 | SOURCE | 512.6 | source gguf, only provided when it was hard to come by |
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 -->- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- Mar 27, 2024
- Updated
- Nov 18, 2024