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nisten/
meta-405b-instruct-cpu-optimized-gguf

Name: meta-405b-instruct-cpu-optimized-gguf
Availability: InStock

meta-llama/Llama-3.1-405B-Instruct

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🚀 CPU optimized quantizations of Meta-Llama-3.1-405B-Instruct 🖥️

This repository contains CPU-optimized GGUF quantizations of the Meta-Llama-3.1-405B-Instruct model. These quantizations are designed to run efficiently on CPU hardware while maintaining good performance.

Available Quantizations

Q4_0_4_8 (CPU FMA-Optimized): ~246 GB
IQ4_XS (Fastest for CPU/GPU): ~212 GB
Q2K-Q8 Mixed quant with iMatrix: ~154 GB
Q2K-Q8 Mixed without iMat for testing: ~165 GB
1-bit Custom per weight COHERENT quant: ~103 GB
BF16: ~811 GB (original model)
Q8_0: ~406 GB (original model)

Use Aria2 for parallelized downloads, links will download 9x faster

[!TIP]🐧 On Linux sudo apt install -y aria2

🍎 On Mac brew install aria2

Feel free to paste these all in at once or one at a time

Q4_0_48 (CPU FMA Optimized Specifically for ARM server chips, NOT TESTED on X86)

bash

aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-optimized-q4048-00001-of-00006.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-optimized-q4048-00001-of-00006.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-optimized-q4048-00002-of-00006.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-optimized-q4048-00002-of-00006.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-optimized-q4048-00003-of-00006.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-optimized-q4048-00003-of-00006.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-optimized-q4048-00004-of-00006.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-optimized-q4048-00004-of-00006.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-optimized-q4048-00005-of-00006.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-optimized-q4048-00005-of-00006.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-optimized-q4048-00006-of-00006.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-optimized-q4048-00006-of-00006.gguf

IQ4_XS Version - Fastest for CPU/GPU should work everywhere (Size: ~212 GB)

bash

aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-i1-q4xs-00001-of-00005.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-i1-q4xs-00001-of-00005.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-i1-q4xs-00002-of-00005.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-i1-q4xs-00002-of-00005.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-i1-q4xs-00003-of-00005.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-i1-q4xs-00003-of-00005.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-i1-q4xs-00004-of-00005.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-i1-q4xs-00004-of-00005.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-i1-q4xs-00005-of-00005.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-i1-q4xs-00005-of-00005.gguf

1-bit Custom Per Weight Quantization (Size: ~103 GB)

bash

aria2c -x 16 -s 16 -k 1M -o meta-405b-1bit-00001-of-00003.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-1bit-00001-of-00003.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-1bit-00002-of-00003.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-1bit-00002-of-00003.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-1bit-00003-of-00003.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-1bit-00003-of-00003.gguf

Q2K-Q8 Mixed 2bit 8bit I wrote myself. This is the smallest coherent one I could make WITHOUT imatrix

verilog

aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-2kmix8k-00001-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-2kmix8k-00001-of-00004.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-2kmix8k-00002-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-2kmix8k-00002-of-00004.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-2kmix8k-00003-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-2kmix8k-00003-of-00004.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-inst-cpu-2kmix8k-00004-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-inst-cpu-2kmix8k-00004-of-00004.gguf

Same as above but with higher quality iMatrix Q2K-Q8 (Size: ~154 GB) USE THIS ONE

bash

aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-imatrix-2k-00001-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-imatrix-2k-00001-of-00004.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-imatrix-2k-00002-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-imatrix-2k-00002-of-00004.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-imatrix-2k-00003-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-imatrix-2k-00003-of-00004.gguf
aria2c -x 16 -s 16 -k 1M -o meta-405b-cpu-imatrix-2k-00004-of-00004.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-405b-cpu-imatrix-2k-00004-of-00004.gguf

BF16 Version

bash

aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00001-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00001-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00002-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00002-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00003-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00003-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00004-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00004-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00005-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00005-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00006-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00006-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00007-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00007-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00008-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00008-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00009-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00009-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00010-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00010-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00011-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00011-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00012-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00012-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00013-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00013-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00014-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00014-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00015-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00015-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00016-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00016-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00017-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00017-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00018-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00018-of-00019.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-bf16-00019-of-00019.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-bf16-00019-of-00019.gguf

Q8_0 Version

bash

aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00001-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00001-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00002-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00002-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00003-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00003-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00004-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00004-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00005-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00005-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00006-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00006-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00007-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00007-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00008-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00008-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00009-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00009-of-00010.gguf
aria2c -x 16 -s 16 -k 1M -o meta-llama-405b-inst-q8_0-00010-of-00010.gguf https://huggingface.co/nisten/meta-405b-instruct-cpu-optimized-gguf/resolve/main/meta-llama-405b-inst-q8_0-00010-of-00010.gguf

Usage

After downloading, you can use these models with libraries like llama.cpp. Here's a basic example:

 ./llama-cli -t 32 --temp 0.4 -fa -m ~/meow/meta-405b-inst-cpu-optimized-q4048-00001-of-00006.gguf -b 512 -c 9000 -p "Adopt the persona of a NASA JPL mathmatician and firendly helpful programmer." -cnv -co -i

Model Information

This model is based on the Meta-Llama-3.1-405B-Instruct model. It's an instruction-tuned version of the 405B parameter Llama 3.1 model, designed for assistant-like chat and various natural language generation tasks.

Key features:

405 billion parameters
Supports 8 languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai
128k context length
Uses Grouped-Query Attention (GQA) for improved inference scalability

For more detailed information about the base model, please refer to the original model card.

License

The use of this model is subject to the Llama 3.1 Community License. Please ensure you comply with the license terms when using this model.

Acknowledgements

Special thanks to the Meta AI team for creating and releasing the Llama 3.1 model series.

nisten/meta-405b-instruct-cpu-optimized-gguf

🚀 CPU optimized quantizations of Meta-Llama-3.1-405B-Instruct 🖥️

Available Quantizations

Use Aria2 for parallelized downloads, links will download 9x faster

Q4_0_48 (CPU FMA Optimized Specifically for ARM server chips, NOT TESTED on X86)

IQ4_XS Version - Fastest for CPU/GPU should work everywhere (Size: ~212 GB)

1-bit Custom Per Weight Quantization (Size: ~103 GB)

Q2K-Q8 Mixed 2bit 8bit I wrote myself. This is the smallest coherent one I could make WITHOUT imatrix

Same as above but with higher quality iMatrix Q2K-Q8 (Size: ~154 GB) USE THIS ONE

BF16 Version

Q8_0 Version

Usage

Model Information

License

Acknowledgements

Enjoy; more quants and perplexity benchmarks coming.

nisten/
meta-405b-instruct-cpu-optimized-gguf