Update README.md

README.md

@@ -9,22 +9,6 @@ This is a quantized version of h2oai/h2ogpt-4096-llama2-13b-chat, formatted in G
 | ---- | ---- | ----- |
 | q8_0 | 8 | Original quant method, 8-bit. |
 
-### Currently in conversion
-| Format | Bits | Use case |
-| ---- | ---- | ----- |
-| q3_K_L | 3 | New k-quant method. Uses GGML_TYPE_Q5_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else GGML_TYPE_Q3_K |
-| q3_K_M | 3 | New k-quant method. Uses GGML_TYPE_Q4_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else GGML_TYPE_Q3_K |
-| q3_K_S | 3 | New k-quant method. Uses GGML_TYPE_Q3_K for all tensors |
-| q4_0 | 4 | Original quant method, 4-bit. |
-| q4_1 | 4 | Original quant method, 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
-| q4_K_M | 4 | New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q4_K |
-| q4_K_S | 4 | New k-quant method. Uses GGML_TYPE_Q4_K for all tensors |
-| q5_0 | 5 | Original quant method, 5-bit. Higher accuracy, higher resource usage and slower inference. |
-| q5_1 | 5 | Original quant method, 5-bit. Even higher accuracy, resource usage and slower inference. |
-| q5_K_M | 5 | New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q5_K |
-| q5_K_S | 5 | New k-quant method. Uses GGML_TYPE_Q5_K for all tensors |
-| q6_K | 6 | New k-quant method. Uses GGML_TYPE_Q8_K for all tensors - 6-bit quantization |
-
 # Original Model Card
 
 h2oGPT clone of [Meta's Llama 2 13B Chat](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf).