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Meta-Llama-3.1-405B-Instruct-Uncensored-GGUF
mradermacher/Meta-Llama-3.1-405B-Instruct-Uncensored-GGUF
Meta-Llama-3.1-405B-Instruct-Uncensored-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 llama3.1.
static quants of https://huggingface.co/nicoboss/Meta-Llama-3.1-405B-Instruct-Uncensored
Access
Public
Updated Sep 16, 2024
Repo size
3.3 TB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.part1of4263 GB · 8%
At a glance
- Library
- transformers
- License
- llama3.1
- Access
- Public
- Created
- Sep 14, 2024
- Updated
- Sep 16, 2024
- SHA
- a3b4f634
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/nicoboss/Meta-Llama-3.1-405B-Instruct-Uncensored
<!-- provided-files -->weighted/imatrix quants are available at https://huggingface.co/mradermacher/Meta-Llama-3.1-405B-Instruct-Uncensored-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 PART 3 PART 4 | Q2_K | 149.4 | |
| PART 1 PART 2 PART 3 PART 4 | IQ3_XS | 166.2 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_S | 175.3 | |
| PART 1 PART 2 PART 3 PART 4 | IQ3_S | 175.6 | beats Q3_K* |
| PART 1 PART 2 PART 3 PART 4 | IQ3_M | 181.8 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_M | 195.5 | lower quality |
| P1 P2 P3 P4 P5 | Q3_K_L | 212.9 | |
| P1 P2 P3 P4 P5 | IQ4_XS | 218.7 | |
| P1 P2 P3 P4 P5 | Q4_K_S | 230.6 | fast, recommended |
| P1 P2 P3 P4 P5 | Q4_K_M | 243.2 | fast, recommended |
| P1 P2 P3 P4 P5 P6 | Q5_K_S | 279.4 | |
| P1 P2 P3 P4 P5 P6 | Q5_K_M | 286.7 | |
| P1 P2 P3 P4 P5 P6 P7 | Q6_K | 333.0 | very good quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q8_0 | 431.3 | 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
- License
- llama3.1
- Languages
- en
- Created
- Sep 14, 2024
- Updated
- Sep 16, 2024