Update README.md

README.md

@@ -8,46 +8,21 @@ tags:
 base_model: Nitral-AI/Hathor-L3-8B-v.01
 ---
 
-# Nitral-AI/Hathor-L3-8B-v.01-Q5_K_M-GGUF
-This model was converted to GGUF format from [`Nitral-AI/Hathor-L3-8B-v.01`](https://huggingface.co/Nitral-AI/Hathor-L3-8B-v.01) 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/Nitral-AI/Hathor-L3-8B-v.01) for more details on the model.
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/kW6ij_aTIgOHvFKsqvidG.jpeg)
+# "Hathor-v0.1 is a model based on the LLaMA 3 architecture: Designed to seamlessly integrate the qualities of creativity, intelligence, and robust performance. Making it an ideal tool for a wide range of applications; such as creative writing, educational support and human/computer interaction."
 
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
+# Recomended ST Presets: [Hathor Presets](https://huggingface.co/Nitral-AI/Hathor-L3-8B-v.01/tree/main/Hathor%20Presets)
 
-```bash
-brew install llama.cpp
-
-```
-Invoke the llama.cpp server or the CLI.
-
-### CLI:
-```bash
-llama --hf-repo Nitral-AI/Hathor-L3-8B-v.01-Q5_K_M-GGUF --hf-file hathor-l3-8b-v.01-q5_k_m.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo Nitral-AI/Hathor-L3-8B-v.01-Q5_K_M-GGUF --hf-file hathor-l3-8b-v.01-q5_k_m.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.
+---
+# Notes: Hathor is trained on 3 epochs of private rp data, synthetic opus instructons, a mix of light/classical novel data. (Heavily wip)
+---
 
-Step 1: Clone llama.cpp from GitHub.
-```
-git clone https://github.com/ggerganov/llama.cpp
-```
+- If you want to use vision functionality:
 
-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
-```
+ * You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).
+ 
+-  To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found inside this model repo. [Llava MMProj](https://huggingface.co/Nitral-AI/Llama-3-Update-3.0-mmproj-model-f16)
+ 
+ * You can load the **mmproj** by using the corresponding section in the interface:
 
-Step 3: Run inference through the main binary.
-```
-./main --hf-repo Nitral-AI/Hathor-L3-8B-v.01-Q5_K_M-GGUF --hf-file hathor-l3-8b-v.01-q5_k_m.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./server --hf-repo Nitral-AI/Hathor-L3-8B-v.01-Q5_K_M-GGUF --hf-file hathor-l3-8b-v.01-q5_k_m.gguf -c 2048
-```
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/UX6Ubss2EPNAT3SKGMLe0.png)