Update README.md

README.md

@@ -7,47 +7,35 @@ tags:
 - gguf-my-repo
 base_model: Nitral-AI/Poppy_Porpoise-1.4-L3-8B
 ---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/Boje781GkTdYgORTYGI6r.png)
 
-# Nitral-AI/Poppy_Porpoise-1.4-L3-8B-Q4_K_M-GGUF
-This model was converted to GGUF format from [`Nitral-AI/Poppy_Porpoise-1.4-L3-8B`](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.4-L3-8B) 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/Poppy_Porpoise-1.4-L3-8B) for more details on the model.
+# "Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preferences.
 
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
+# Note: This variant is an attempt to get something closer to 0.72 while maintaining the improvements of 1.30.
 
-```bash
-brew install llama.cpp
+# : [Presets in repo folder](https://huggingface.co/Nitral-AI/Poppy_Porpoise-1.0-L3-8B/tree/main/Porpoise_1.0-Presets).
 
-```
-Invoke the llama.cpp server or the CLI.
-
-### CLI:
-```bash
-llama --hf-repo Nitral-AI/Poppy_Porpoise-1.4-L3-8B-Q4_K_M-GGUF --hf-file poppy_porpoise-1.4-l3-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
-```
+# If you want to use vision functionality: You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp). And need to load the specified **mmproj** file: [Llava MMProj](https://huggingface.co/Nitral-AI/Llama-3-Update-2.0-mmproj-model-f16).
 
-### Server:
-```bash
-llama-server --hf-repo Nitral-AI/Poppy_Porpoise-1.4-L3-8B-Q4_K_M-GGUF --hf-file poppy_porpoise-1.4-l3-8b-q4_k_m.gguf -c 2048
-```
+### Configuration
 
-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
-```
+The following YAML configuration was used to produce this model:
 
-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.
-```
-./main --hf-repo Nitral-AI/Poppy_Porpoise-1.4-L3-8B-Q4_K_M-GGUF --hf-file poppy_porpoise-1.4-l3-8b-q4_k_m.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./server --hf-repo Nitral-AI/Poppy_Porpoise-1.4-L3-8B-Q4_K_M-GGUF --hf-file poppy_porpoise-1.4-l3-8b-q4_k_m.gguf -c 2048
+```yaml
+slices:
+  - sources:
+      - model: Nitral-AI/Pp-72xra1
+        layer_range: [0, 32]
+      - model: Nitral-AI/Poppy-1.35-Phase1
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: Nitral-AI/Pp-72xra1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
 ```