Update README.md

README.md

@@ -6,10 +6,6 @@ datasets:
 - Salesforce/xlam-function-calling-60k
 - MadeAgents/xlam-irrelevance-7.5k
 - IntelligentEstate/The_Key
-base_model: MadeAgents/Hammer2.1-3b
-tags:
-- llama-cpp
-- gguf-my-repo
 ---
 
 # fuzzy-mittenz/Hammer2.1-3b-Q5_K_S-GGUF
@@ -24,34 +20,3 @@ brew install llama.cpp
 
 ```
 Invoke the llama.cpp server or the CLI.
-
-### CLI:
-```bash
-llama-cli --hf-repo fuzzy-mittenz/Hammer2.1-3b-Q5_K_S-GGUF --hf-file hammer2.1-3b-q5_k_s-imat.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo fuzzy-mittenz/Hammer2.1-3b-Q5_K_S-GGUF --hf-file hammer2.1-3b-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/Hammer2.1-3b-Q5_K_S-GGUF --hf-file hammer2.1-3b-q5_k_s-imat.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo fuzzy-mittenz/Hammer2.1-3b-Q5_K_S-GGUF --hf-file hammer2.1-3b-q5_k_s-imat.gguf -c 2048
-```