Update README.md


README.md

@@ -34,6 +34,10 @@ model-index:
 ---
 
 # THOTH Experiment
+
+![thoth2.png](https://cdn-uploads.huggingface.co/production/uploads/6593502ca2607099284523db/5hpy4IHflPFigikhFPAKj.png)
+
+# Model is Experimental Imatrix Quant using "THE_KEY" Dataset in QAT
 This model was converted to GGUF format from [`NousResearch/Hermes-3-Llama-3.2-3B`](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B) using llama.cpp.
 Refer to the [original model card](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B) for more details on the model.
 
@@ -46,33 +50,3 @@ brew install llama.cpp
 ```
 Invoke the llama.cpp server or the CLI.
 
-### CLI:
-```bash
-llama-cli --hf-repo fuzzy-mittenz/Hermes-3-Llama-3.2-3B-IQ4_NL-GGUF --hf-file hermes-3-llama-3.2-3b-iq4_nl-imat.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo fuzzy-mittenz/Hermes-3-Llama-3.2-3B-IQ4_NL-GGUF --hf-file hermes-3-llama-3.2-3b-iq4_nl-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/Hermes-3-Llama-3.2-3B-IQ4_NL-GGUF --hf-file hermes-3-llama-3.2-3b-iq4_nl-imat.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo fuzzy-mittenz/Hermes-3-Llama-3.2-3B-IQ4_NL-GGUF --hf-file hermes-3-llama-3.2-3b-iq4_nl-imat.gguf -c 2048
-```