Update README.md

README.md

@@ -17,15 +17,3 @@ Fine-tuned on [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistr
 
 I spoke to it personally for about an hour, and I believe we need to work on our format for the private dataset a bit more, but other than that, it turned out great. I will be uploading it to open llm evaluations, today.
 
-## Provided files
-
-| Name | Quant method | Bits | Size | Max RAM required | Use case |
-| ---- | ---- | ---- | ---- | ---- | ----- |
-| [Q2_K Tiny](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q2_k.gguf) | Q2_K | 2 | 2.7 GB| 4.7 GB | smallest, significant quality loss - not recommended for most purposes |
-| [Q3_K_M](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q3_k_m.gguf) | Q3_K_M | 3 | 3.52 GB| 5.52 GB | very small, high quality loss |
-| [Q4_0](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q4_0.gguf) | Q4_0 | 4 | 4.11 GB| 6.11 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [Q4_K_M](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q4_k_m.gguf) | Q4_K_M | 4 | 4.37 GB| 6.37 GB | medium, balanced quality - recommended |
-| [Q5_0](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q5_0.gguf) | Q5_0 | 5 | 5 GB| 7 GB | legacy; large, balanced quality |
-| [Q5_K_M](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q5_k_m.gguf) | Q5_K_M | 5 | 5.13 GB| 7.13 GB | large, balanced quality - recommended |
-| [Q6 XL](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q6_k.gguf) | Q6_K | 6 | 5.94 GB| 7.94 GB | very large, extremely low quality loss |
-| [Q8 XXL](https://huggingface.co/Kquant03/Medusa-7B-GGUF/blob/main/ggml-model-q8_0.gguf) | Q8_0 | 8 | 7.7 GB| 9.7 GB | very large, extremely low quality loss - not recommended |