Update README.md

README.md

@@ -23,9 +23,9 @@ model-index:
 - name: EVA-Qwen2.5-1.5B-FFT-v0.0
   results: []
 ---
-
+#          TEST
 # fuzzy-mittenz/EVA-Qwen2.5-1.5B-v0.0-Q5_K_S-GGUF
-This model was converted to GGUF format from [`EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0) 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 from [`EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0) using llama.cpp 
 Refer to the [original model card](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0) for more details on the model.
 
 ## Use with llama.cpp
@@ -37,33 +37,3 @@ brew install llama.cpp
 ```
 Invoke the llama.cpp server or the CLI.
 
-### CLI:
-```bash
-llama-cli --hf-repo fuzzy-mittenz/EVA-Qwen2.5-1.5B-v0.0-Q5_K_S-GGUF --hf-file eva-qwen2.5-1.5b-v0.0-q5_k_s-imat.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo fuzzy-mittenz/EVA-Qwen2.5-1.5B-v0.0-Q5_K_S-GGUF --hf-file eva-qwen2.5-1.5b-v0.0-q5_k_s-imat.gguf -c 2048
-```
-
-Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
-
-Step 1: Clone llama.cpp from GitHub.
-```
-git clone https://github.com/ggerganov/llama.cpp
-```
-
-Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
-```
-cd llama.cpp && LLAMA_CURL=1 make
-```
-
-Step 3: Run inference through the main binary.
-```
-./llama-cli --hf-repo fuzzy-mittenz/EVA-Qwen2.5-1.5B-v0.0-Q5_K_S-GGUF --hf-file eva-qwen2.5-1.5b-v0.0-q5_k_s-imat.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo fuzzy-mittenz/EVA-Qwen2.5-1.5B-v0.0-Q5_K_S-GGUF --hf-file eva-qwen2.5-1.5b-v0.0-q5_k_s-imat.gguf -c 2048
-```