Upload README.md

README.md

@@ -108,15 +108,20 @@ Refer to the Provided Files table below to see what files use which methods, and
 
 | Name | Quant method | Bits | Size | Max RAM required | Use case |
 | ---- | ---- | ---- | ---- | ---- | ----- |
+| [llama-2-70b-chat.Q6_K.gguf-split-b](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q6_K.gguf-split-b) | Q6_K | 6 | 19.89 GB| 22.39 GB | very large, extremely low quality loss |
 | [llama-2-70b-chat.Q2_K.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q2_K.gguf) | Q2_K | 2 | 29.28 GB| 31.78 GB | smallest, significant quality loss - not recommended for most purposes |
 | [llama-2-70b-chat.Q3_K_S.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q3_K_S.gguf) | Q3_K_S | 3 | 29.92 GB| 32.42 GB | very small, high quality loss |
 | [llama-2-70b-chat.Q5_K_S.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q5_K_S.gguf) | Q5_K_S | 5 | 30.57 GB| 33.07 GB | large, low quality loss - recommended |
 | [llama-2-70b-chat.Q3_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q3_K_M.gguf) | Q3_K_M | 3 | 33.19 GB| 35.69 GB | very small, high quality loss |
 | [llama-2-70b-chat.Q3_K_L.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q3_K_L.gguf) | Q3_K_L | 3 | 36.15 GB| 38.65 GB | small, substantial quality loss |
+| [llama-2-70b-chat.Q8_0.gguf-split-b](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q8_0.gguf-split-b) | Q8_0 | 8 | 36.59 GB| 39.09 GB | very large, extremely low quality loss - not recommended |
+| [llama-2-70b-chat.Q6_K.gguf-split-a](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q6_K.gguf-split-a) | Q6_K | 6 | 36.70 GB| 39.20 GB | very large, extremely low quality loss |
+| [llama-2-70b-chat.Q8_0.gguf-split-a](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q8_0.gguf-split-a) | Q8_0 | 8 | 36.70 GB| 39.20 GB | very large, extremely low quality loss - not recommended |
 | [llama-2-70b-chat.Q4_0.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q4_0.gguf) | Q4_0 | 4 | 38.87 GB| 41.37 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
 | [llama-2-70b-chat.Q4_K_S.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q4_K_S.gguf) | Q4_K_S | 4 | 39.07 GB| 41.57 GB | small, greater quality loss |
 | [llama-2-70b-chat.Q4_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q4_K_M.gguf) | Q4_K_M | 4 | 41.42 GB| 43.92 GB | medium, balanced quality - recommended |
 | [llama-2-70b-chat.Q5_0.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q5_0.gguf) | Q5_0 | 5 | 47.46 GB| 49.96 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [llama-2-70b-chat.Q5_K_M.gguf](https://huggingface.co/TheBloke/Llama-2-70B-chat-GGUF/blob/main/llama-2-70b-chat.Q5_K_M.gguf) | Q5_K_M | 5 | 48.75 GB| 51.25 GB | large, very low quality loss - recommended |
 
 **Note**: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.
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