Downloads · 30 days
0
Knight-Mixtral-WizardLM-140B-MoE-GGUF
mradermacher/Knight-Mixtral-WizardLM-140B-MoE-GGUF
Knight-Mixtral-WizardLM-140B-MoE-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.
static quants of https://huggingface.co/NotAiLOL/Knight-Mixtral-WizardLM-140B-MoE
Access
Public
Updated May 6, 2024
Repo size
1.1 TB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.part1of2438 GB · 39%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Apr 21, 2024
- Updated
- May 6, 2024
- SHA
- 6fd8f577
Base models
Model card
From the Hugging Face model README
About
<!-- ### quantize_version: 1 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: --> <!-- ### vocab_type: -->static quants of https://huggingface.co/NotAiLOL/Knight-Mixtral-WizardLM-140B-MoE
<!-- provided-files -->weighted/imatrix quants are available at https://huggingface.co/mradermacher/Knight-Mixtral-WizardLM-140B-MoE-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 | 51.3 | |
| PART 1 PART 2 | IQ3_XS | 57.2 | |
| PART 1 PART 2 | IQ3_S | 60.5 | beats Q3_K* |
| PART 1 PART 2 | Q3_K_S | 60.5 | |
| PART 1 PART 2 | IQ3_M | 63.4 | |
| PART 1 PART 2 | Q3_K_M | 66.7 | lower quality |
| PART 1 PART 2 | Q3_K_L | 71.4 | |
| PART 1 PART 2 | IQ4_XS | 75.0 | |
| PART 1 PART 2 | Q4_K_S | 79.1 | fast, recommended |
| PART 1 PART 2 | Q4_K_M | 84.1 | fast, recommended |
| PART 1 PART 2 | Q5_K_S | 95.4 | |
| PART 1 PART 2 | Q5_K_M | 98.2 | |
| PART 1 PART 2 PART 3 | Q6_K | 113.6 | very good quality |
| PART 1 PART 2 PART 3 | Q8_0 | 146.9 | fast, best quality |
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
- Languages
- en
- Created
- Apr 21, 2024
- Updated
- May 6, 2024