Update README.md

README.md

@@ -1,6 +1,8 @@
 ---
 license: apache-2.0
-base_model: WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B
+base_model:
+- WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B
+- Qwen/Qwen2.5-Coder-7B-Instruct
 language:
 - en
 pipeline_tag: text-generation
@@ -11,10 +13,12 @@ tags:
 - finetune
 - llama-cpp
 - gguf-my-repo
+datasets:
+- IntelligentEstate/The_Key
 ---
 
 # fuzzy-mittenz/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-IQ4_XS-GGUF
-This model was converted to GGUF format from [`WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B`](https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+This model was converted to GGUF format using "THE_KEY" dataset for importace matrix Qantization from [`WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B`](https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B) for more details on the model.
 
 ## Use with llama.cpp
@@ -55,4 +59,4 @@ Step 3: Run inference through the main binary.
 or 
 ```
 ./llama-server --hf-repo fuzzy-mittenz/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B-IQ4_XS-GGUF --hf-file whiterabbitneo-2.5-qwen-2.5-coder-7b-iq4_xs-imat.gguf -c 2048
-```
+```