Update README.md

README.md

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+[GPlatty-30B](https://huggingface.co/lilloukas/GPlatty-30B) merged with bhenrym14's [airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-LoRA](https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-LoRA), quantized at 4 bit.
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+More info about the LoRA [Here](https://huggingface.co/bhenrym14/airoboros-33b-gpt4-1.4.1-lxctx-PI-16384-LoRA). This is an alternative to SuperHOT 8k LoRA trained with LoRA_rank 64 and context extended to 16K, with airoboros 1.4.1 dataset.
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+It was created with GPTQ-for-LLaMA with group size 32 and act order true as parameters, to get the maximum perplexity vs FP16 model.
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+I HIGHLY suggest to use exllama, to evade some VRAM issues.
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+Use compress_pos_emb = 8 for any context up to 16384 context.
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+If you have 2x24 GB VRAM GPUs cards, to not get Out of Memory errors at 16384 context, use:
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+gpu_split: 8.4,9.6