Update README.md

README.md

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 ---
 license: mit
+language:
+- en
 ---
+# NPC Model
+
+This repo contains the domain-specific NPC model we've fined-tuned from **Phi-3**, using LoRA. 
+
+This model parses a text description of a game scene, and outputs commands like:
+* `say <player1> "Hello Adventurer, care to join me on a quest?`
+* `greet <player1>`
+* `attack <player1>`
+* Any other `<action> <param>` you add to the prompt! (We call these "skills"!)
+
+
+⚠️ This model has been trained to **overfit** on our input prompt format. Follow it closely to reach optimal performance ⚠️
+
+
+## Usage
+
+**Make your life easier, use our [Python client library](https://github.com/GigaxGames/gigax)**
+
+* Instantiating the model using outlines:
+```py
+from outlines import models
+from gigax.step import NPCStepper
+
+# Download model from the Hub
+model_name = "Gigax/NPC-LLM-7B"
+llm = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Our stepper takes in a Outlines model to enable guided generation
+# This forces the model to follow our output format
+model = models.Transformers(llm, tokenizer)
+
+# Instantiate a stepper: handles prompting + output parsing
+stepper = NPCStepper(model=model)
+```
+
+* Calling the model on your game's data:
+
+```py
+from gigax.parse import CharacterAction
+from gigax.scene import (
+    Character,
+    Item,
+    Location,
+    ProtagonistCharacter,
+    ProtagonistCharacter,
+    Skill,
+    ParameterType,
+)
+# Use sample data
+current_location = Location(name="Old Town", description="A quiet and peaceful town.")
+NPCs = [
+    Character(
+    name="John the Brave",
+    description="A fearless warrior",
+    current_location=current_location,
+    )
+]
+protagonist = ProtagonistCharacter(
+    name="Aldren",
+    description="Brave and curious",
+    current_location=current_location,
+    memories=["Saved the village", "Lost a friend"],
+    quests=["Find the ancient artifact", "Defeat the evil warlock"],
+    skills=[
+        Skill(
+            name="Attack",
+            description="Deliver a powerful blow",
+            parameter_types=[ParameterType.character],
+        )
+    ],
+    psychological_profile="Determined and compassionate",
+)
+items = [Item(name="Sword", description="A sharp blade")]
+events = [
+    CharacterAction(
+        command="Say",
+        protagonist=protagonist,
+        parameters=[items[0], "What a fine sword!"],
+    )
+]
+
+action = stepper.get_action(
+    context=context,
+    locations=locations,
+    NPCs=NPCs,
+    protagonist=protagonist,
+    items=items,
+    events=events,
+)
+```
+
+## Input prompt
+
+Here's a sample input prompt, showing you the format on which the model has been trained:
+```txt
+- WORLD KNOWLEDGE: A vast open world full of mystery and adventure.
+- KNOWN LOCATIONS: Old Town
+- NPCS: John the Brave
+- CURRENT LOCATION: Old Town: A quiet and peaceful town.
+- CURRENT LOCATION ITEMS: Sword
+- LAST EVENTS:
+Aldren: Say Sword What a fine sword!
+- PROTAGONIST NAME: Aldren
+- PROTAGONIST PSYCHOLOGICAL PROFILE: Brave and curious
+- PROTAGONIST MEMORIES:
+Saved the village
+Lost a friend
+- PROTAGONIST PENDING QUESTS:
+Find the ancient artifact
+Defeat the evil warlock
+- PROTAGONIST ALLOWED ACTIONS:
+Attack <character> : Deliver a powerful blow
+Aldren:
+```
+
+### 🤗 We are currently working hard on training on the latest SoTA models (Phi-3, LLama, etc.), and on better data ! 🤗
+
+
+## Model info
+
+- **Developed by:** Gigax
+- **Language(s) (NLP):** English
+- **Finetuned from model [optional]:** [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
+- **Contact:** Join our [Discord](https://discord.gg/xES2Z8X4J6) for info, help, and more!
+
+## How to Cite
+
+```bibtex
+@misc{NPC-LLM-3_8B,
+      url={[https://huggingface.co/Gigax/NPC-LLM-7B](https://huggingface.co/Gigax/NPC-LLM-3_8B)},
+      title={NPC-LLM-3_8B},
+      author={Gigax team}
+}
+```