Update README.md

README.md

@@ -6,12 +6,62 @@ tags:
 - merge
 - llama-cpp
 - gguf-my-repo
+license: mit
 ---
 
 # Triangle104/Phi-4-RP-V0.2-Q4_K_M-GGUF
 This model was converted to GGUF format from [`bunnycore/Phi-4-RP-V0.2`](https://huggingface.co/bunnycore/Phi-4-RP-V0.2) 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/bunnycore/Phi-4-RP-V0.2) for more details on the model.
 
+---
+Model details:
+-
+Phi-4-RP-V0.2 is based on the Phi-4 architecture, which is a state-of-the-art large language model designed to handle a wide range of natural language tasks with high efficiency and performance.
+
+Primary Use Cases
+
+    Interactive Storytelling : Engage users in dynamic, immersive stories where they can take on different roles and make choices that influence the narrative.
+    Role-Playing Games (RPGs) : Provide rich, interactive experiences in RPGs, enhancing gameplay through intelligent character interactions.
+    Virtual Assistants : Offer personalized, engaging conversations that simulate human-like interactions for customer support or entertainment purposes.
+
+Training Data
+
+Phi-4-RP-V0.2 is specifically trained on role-playing datasets to ensure comprehensive understanding and versatility in various role-playing contexts. This includes but is not limited to:
+
+    Role-playing game scripts and narratives.
+    Interactive storytelling scenarios.
+    Character dialogues and interactions from diverse fictional settings.
+
+Input Formats
+
+Given the nature of the training data, phi-4 is best suited for prompts using the chat format as follows:
+
+<|im_start|>system<|im_sep|>
+You are a medieval knight and must provide explanations to modern people.<|im_end|>
+<|im_start|>user<|im_sep|>
+How should I explain the Internet?<|im_end|>
+<|im_start|>assistant<|im_sep|>
+
+Merge Method
+
+This model was merged using the passthrough merge method using unsloth/phi-4 + bunnycore/Phi-4-rp-v1-lora as a base.
+
+Models Merged
+
+The following models were included in the merge:
+
+Configuration
+
+The following YAML configuration was used to produce this model:
+
+base_model: unsloth/phi-4+bunnycore/Phi-4-rp-v1-lora
+dtype: bfloat16
+merge_method: passthrough
+models:
+  - model: unsloth/phi-4+bunnycore/Phi-4-rp-v1-lora
+tokenizer_source: unsloth/phi-4
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)
 
@@ -50,4 +100,4 @@ Step 3: Run inference through the main binary.
 or 
 ```
 ./llama-server --hf-repo Triangle104/Phi-4-RP-V0.2-Q4_K_M-GGUF --hf-file phi-4-rp-v0.2-q4_k_m.gguf -c 2048
-```
+```