Initial GGML model commit

README.md

@@ -84,6 +84,16 @@ 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 |
 | ---- | ---- | ---- | ---- | ---- | ----- |
 | [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q2_K.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q2_K.bin) | q2_K | 2 | 28.59 GB| 31.09 GB | New k-quant method. Uses GGML_TYPE_Q4_K for the attention.vw and feed_forward.w2 tensors, GGML_TYPE_Q2_K for the other tensors. |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q3_K_L.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q3_K_L.bin) | q3_K_L | 3 | 36.15 GB| 38.65 GB | 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 |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q3_K_M.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q3_K_M.bin) | q3_K_M | 3 | 33.04 GB| 35.54 GB | 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 |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q3_K_S.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q3_K_S.bin) | q3_K_S | 3 | 29.75 GB| 32.25 GB | New k-quant method. Uses GGML_TYPE_Q3_K for all tensors |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_0.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_0.bin) | q4_0 | 4 | 38.87 GB| 41.37 GB | Original quant method, 4-bit. |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_1.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_1.bin) | q4_1 | 4 | 43.17 GB| 45.67 GB | Original quant method, 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_K_M.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_K_M.bin) | q4_K_M | 4 | 41.38 GB| 43.88 GB | 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 |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_K_S.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q4_K_S.bin) | q4_K_S | 4 | 38.87 GB| 41.37 GB | New k-quant method. Uses GGML_TYPE_Q4_K for all tensors |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q5_0.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q5_0.bin) | q5_0 | 5 | 47.46 GB| 49.96 GB | Original quant method, 5-bit. Higher accuracy, higher resource usage and slower inference. |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q5_K_M.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q5_K_M.bin) | q5_K_M | 5 | 48.75 GB| 51.25 GB | 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 |
+| [airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q5_K_S.bin](https://huggingface.co/TheBloke/airoboros-l2-70B-gpt4-1.4.1-GGML/blob/main/airoboros-l2-70b-gpt4-1.4.1.ggmlv3.q5_K_S.bin) | q5_K_S | 5 | 47.46 GB| 49.96 GB | New k-quant method. Uses GGML_TYPE_Q5_K for all tensors |
 
 **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.