Update README.md

README.md

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 # RoPE Scaled Finetune of airoboros-33b-gpt4-1.4.1 (GPTQ)
 ## Overview
 
-This is [Jon Durbin's Airoboros 33B GPT4 1.4](https://huggingface.co/jondurbin/airoboros-33b-gpt4-1.4) (with GPTQ Quantization) with several key modifications:
+This is [Jon Durbin's Airoboros 33B GPT4 1.4](https://huggingface.co/jondurbin/airoboros-33b-gpt4-1.4) (merged model GPTQ Quantization, and LoRA weights) with several key modifications:
 - Context length extended to 8192 by RoPE Scaled Embeddings, but NOT via the superHOT LoRA.
 - Training sequences beyond 2048 have the target truncated to equal 2048.
 - Used airoboros-gpt4-1.4.1 dataset instead of airoboros-gpt4-1.4
@@ -24,7 +24,7 @@ Recent advancements in extending context by RoPE scaling ([kaiokendev](https://k
 
 ## Quantization:
 
-The merged model was quantized with AutoGPTQ (bits = 4, group_size = 128, desc_act = True). If there's interest, I can upload the LoRA weights and/or merged 16bit HF model.
+The merged model was quantized with AutoGPTQ (bits = 4, group_size = 128, desc_act = True). The adapter weights and config are also uploaded.