Update gguf.md (#1615)

check from: https://github.com/ggml-org/llama.cpp/blob/master/ggml/src/ggml-common.h#L249

Author: KMSorSMS

docs/hub/gguf.md

@@ -83,7 +83,7 @@ Find more information [here](https://github.com/huggingface/huggingface.js/tree/
 | Q4_1 | [GH](https://github.com/huggingface/huggingface.js/pull/615#discussion_r1557682290) | 4-bit round-to-nearest quantization (`q`). Each block has 32 weights. Weight formula: `w = q * block_scale + block_minimum`. Legacy quantization method (not used widely as of today). |
 | Q4_K | [GH](https://github.com/ggerganov/llama.cpp/pull/1684#issue-1739619305) | 4-bit quantization (`q`). Super-blocks with 8 blocks, each block has 32 weights. Weight formula: `w = q * block_scale(6-bit) + block_min(6-bit)`, resulting in 4.5 bits-per-weight. |
 | Q3_K | [GH](https://github.com/ggerganov/llama.cpp/pull/1684#issue-1739619305) | 3-bit quantization (`q`). Super-blocks with 16 blocks, each block has 16 weights. Weight formula: `w = q * block_scale(6-bit)`, resulting. 3.4375 bits-per-weight. |
-| Q2_K | [GH](https://github.com/ggerganov/llama.cpp/pull/1684#issue-1739619305) | 2-bit quantization (`q`). Super-blocks with 16 blocks, each block has 16 weight. Weight formula: `w = q * block_scale(4-bit) + block_min(4-bit)`, resulting in 2.5625 bits-per-weight. |
+| Q2_K | [GH](https://github.com/ggerganov/llama.cpp/pull/1684#issue-1739619305) | 2-bit quantization (`q`). Super-blocks with 16 blocks, each block has 16 weight. Weight formula: `w = q * block_scale(4-bit) + block_min(4-bit)`, resulting in 2.625 bits-per-weight. |
 | IQ4_NL | [GH](https://github.com/ggerganov/llama.cpp/pull/5590) | 4-bit quantization (`q`). Super-blocks with 256 weights. Weight `w` is obtained using `super_block_scale` & `importance matrix`. |
 | IQ4_XS | [HF](https://huggingface.co/CISCai/OpenCodeInterpreter-DS-6.7B-SOTA-GGUF/blob/main/README.md?code=true#L59-L70) | 4-bit quantization (`q`). Super-blocks with 256 weights. Weight `w` is obtained using `super_block_scale` & `importance matrix`, resulting in 4.25 bits-per-weight. |
 | IQ3_S | [HF](https://huggingface.co/CISCai/OpenCodeInterpreter-DS-6.7B-SOTA-GGUF/blob/main/README.md?code=true#L59-L70) | 3-bit quantization (`q`). Super-blocks with 256 weights. Weight `w` is obtained using `super_block_scale` & `importance matrix`, resulting in 3.44 bits-per-weight. |
@@ -94,4 +94,4 @@ Find more information [here](https://github.com/huggingface/huggingface.js/tree/
 | IQ1_S | [HF](https://huggingface.co/CISCai/OpenCodeInterpreter-DS-6.7B-SOTA-GGUF/blob/main/README.md?code=true#L59-L70) | 1-bit quantization (`q`). Super-blocks with 256 weights. Weight `w` is obtained using `super_block_scale` & `importance matrix`, resulting in 1.56 bits-per-weight. |
 | IQ1_M | [GH](https://github.com/ggerganov/llama.cpp/pull/6302) | 1-bit quantization (`q`). Super-blocks with 256 weights. Weight `w` is obtained using `super_block_scale` & `importance matrix`, resulting in 1.75 bits-per-weight. |
 
-*if there's any inaccuracy on the table above, please open a PR on [this file](https://github.com/huggingface/huggingface.js/blob/main/packages/gguf/src/quant-descriptions.ts).*
+*if there's any inaccuracy on the table above, please open a PR on [this file](https://github.com/huggingface/huggingface.js/blob/main/packages/gguf/src/quant-descriptions.ts).*