Update README.md

README.md

@@ -60,7 +60,7 @@ The model first *reasons* silently (chain-of-thought is kept internal) and then
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 import torch, json, textwrap
 
-MODEL = "bhaviktheslider/unsloth-qwen2.5-3b-grpo-json-structurer"
+MODEL = "MasterControlAIML/DeepSeek-R1-Qwen2.5-3b-LLM-Judge-Reward-JSON-Unstructured-To-Structured-Merged-Lora-16bit"
 
 tok   = AutoTokenizer.from_pretrained(MODEL, use_fast=True)
 model = AutoModelForCausalLM.from_pretrained(
@@ -72,7 +72,7 @@ model = AutoModelForCausalLM.from_pretrained(
 # --- Prompt (identical structure to previous model) ---
 system_prompt = (
     "You are an intelligent JSON conversion engine. "
-    "Think step-by-step, but **ONLY** output the final valid JSON."
+    "Think step-by-step, and then output the final valid JSON."
 )
 
 task_prompt = textwrap.dedent("""\
@@ -110,7 +110,7 @@ print(data)
 
 ```bash
 # start server (8-bit, BF16, etc. as needed)
-text-generation-launcher --model-id bhaviktheslider/unsloth-qwen2.5-3b-grpo-json-structurer
+text-generation-launcher --model-id MasterControlAIML/DeepSeek-R1-Qwen2.5-3b-LLM-Judge-Reward-JSON-Unstructured-To-Structured-Merged-Lora-16bit
 
 # curl call
 curl http://localhost:8080/generate \