JaaackXD/Llama-3-70B-Instruct-GGUF

Directly converted and quantized into GGUF based on llama.cpp (release tag: b2843) from the 'Mata-Llama-3' repo from Meta on Hugging Face.

Including the original LLaMA 3 models file cloning from the Meta HF repo. (https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)

If you have issues downloading the models from Meta or converting models for llama.cpp, feel free to download this one!

How to use the gguf-split / Model sharding demo : https://github.com/ggerganov/llama.cpp/discussions/6404

Perplexity table on LLaMA 3 70B

Less perplexity is better. (credit to: dranger003)

Quantization	Size (GiB)	Perplexity (wiki.test)	Delta (FP16)
IQ1_S	14.29	9.8655 +/- 0.0625	248.51%
IQ1_M	15.60	8.5193 +/- 0.0530	201.94%
IQ2_XXS	17.79	6.6705 +/- 0.0405	135.64%
IQ2_XS	19.69	5.7486 +/- 0.0345	103.07%
IQ2_S	20.71	5.5215 +/- 0.0318	95.05%
Q2_K_S	22.79	5.4334 +/- 0.0325	91.94%
IQ2_M	22.46	4.8959 +/- 0.0276	72.35%
Q2_K	24.56	4.7763 +/- 0.0274	68.73%
IQ3_XXS	25.58	3.9671 +/- 0.0211	40.14%
IQ3_XS	27.29	3.7210 +/- 0.0191	31.45%
Q3_K_S	28.79	3.6502 +/- 0.0192	28.95%
IQ3_S	28.79	3.4698 +/- 0.0174	22.57%
IQ3_M	29.74	3.4402 +/- 0.0171	21.53%
Q3_K_M	31.91	3.3617 +/- 0.0172	18.75%
Q3_K_L	34.59	3.3016 +/- 0.0168	16.63%
IQ4_XS	35.30	3.0310 +/- 0.0149	7.07%
IQ4_NL	37.30	3.0261 +/- 0.0149	6.90%
Q4_K_S	37.58	3.0050 +/- 0.0148	6.15%
Q4_K_M	39.60	2.9674 +/- 0.0146	4.83%
Q5_K_S	45.32	2.8843 +/- 0.0141	1.89%
Q5_K_M	46.52	2.8656 +/- 0.0139	1.23%
Q6_K	53.91	2.8441 +/- 0.0138	0.47%
Q8_0	69.83	2.8316 +/- 0.0138	0.03%
F16	131.43	2.8308 +/- 0.0138	0.00%

Where to send questions or comments about the model Instructions on how to provide feedback or comments on the model can be found in the model README. For more technical information about generation parameters and recipes for how to use Llama 3 in applications, please go here.

License

See the License file for Meta Llama 3 here and Acceptable Use Policy here