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

🚀 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

Available Quantizations

1. Q4_0_4_8 (CPU FMA-Optimized): ~246 GB
2. IQ4_XS (Fastest for CPU/GPU): ~212 GB
3. Q2K-Q8 Mixed quant with iMatrix: ~154 GB
4. Q2K-Q8 Mixed without iMat for testing: ~165 GB
5. 1-bit Custom per weight COHERENT quant: ~103 GB
6. BF16: ~811 GB (original model)
7. Q8_0: ~406 GB (original model)

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

🐧 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)

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)

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)

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

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

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

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

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.

Enjoy; more quants and perplexity benchmarks coming.