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Nemotron-4-340B-Instruct-hf-GGUF
mradermacher/Nemotron-4-340B-Instruct-hf-GGUF
Nemotron-4-340B-Instruct-hf-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 other.
static quants of https://huggingface.co/mgoin/Nemotron-4-340B-Instruct-hf
Access
Public
Updated Aug 23, 2024
Repo size
2.8 TB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.part1of4303 GB · 11%
At a glance
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 23, 2024
- SHA
- 0c4def6b
Base models
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/mgoin/Nemotron-4-340B-Instruct-hf
<!-- provided-files -->weighted/imatrix quants are available at https://huggingface.co/mradermacher/Nemotron-4-340B-Instruct-hf-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 | Q2_K | 131.6 | |
| PART 1 PART 2 PART 3 | IQ3_XS | 142.6 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_S | 148.5 | |
| PART 1 PART 2 PART 3 PART 4 | IQ3_S | 148.9 | beats Q3_K* |
| PART 1 PART 2 PART 3 PART 4 | IQ3_M | 155.4 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_M | 171.6 | lower quality |
| PART 1 PART 2 PART 3 PART 4 | IQ4_XS | 185.6 | |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_L | 191.3 | |
| PART 1 PART 2 PART 3 PART 4 | Q4_K_S | 195.2 | fast, recommended |
| P1 P2 P3 P4 P5 | Q4_K_M | 210.3 | fast, recommended |
| P1 P2 P3 P4 P5 | Q5_K_S | 235.2 | |
| P1 P2 P3 P4 P5 | Q5_K_M | 244.1 | |
| P1 P2 P3 P4 P5 P6 | Q6_K | 279.9 | very good quality |
| P1 P2 P3 P4 P5 P6 P7 P8 | Q8_0 | 362.5 | 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
- other
- Languages
- en
- Created
- Aug 20, 2024
- Updated
- Aug 23, 2024