Update README.md

README.md

@@ -18,7 +18,7 @@ datasets:
 base_model: unsloth/Llama-3.2-1B-Instruct
 ---
 
-### hrsvrn/linux-command-generator-llama3.2-1b
+### mecha-org/linux-command-generator-llama3.2-1b
 
 Natural language → Linux command. A compact Llama 3.2 1B Instruct model fine‑tuned (LoRA) to turn plain‑English requests into correct shell commands.
 
@@ -40,7 +40,7 @@ ollama --version
 
 3) Run the model interactively:
 ```bash
-ollama run hrsvrn/linux-command-generator-llama3.2-1b
+ollama run mecha-org/linux-command-generator-llama3.2-1b
 ```
 Then type a request, e.g.:
 - "List all files in the current directory with detailed information"
@@ -51,13 +51,13 @@ Press Ctrl+C to exit.
 
 4) One‑off (non‑interactive):
 ```bash
-ollama run hrsvrn/linux-command-generator-llama3.2-1b -p "Display the first 5 lines of access.log"
+ollama run mecha-org/linux-command-generator-llama3.2-1b -p "Display the first 5 lines of access.log"
 # Expected: head -n 5 access.log
 ```
 
 5) Get command‑only answers (when needed):
 ```bash
-ollama run hrsvrn/linux-command-generator-llama3.2-1b -p "Output only the command with no explanation. Show system information including kernel version"
+ollama run mecha-org/linux-command-generator-llama3.2-1b -p "Output only the command with no explanation. Show system information including kernel version"
 # Expected: uname -a
 ```
 
@@ -88,7 +88,7 @@ ollama run linux-cmd-gen -p "Find all .py files recursively"
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
-model_id = "hrsvrn/linux-command-generator-llama3.2-1b"
+model_id = "mecha-org/linux-command-generator-llama3.2-1b"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16 if torch.cuda.is_available() else None)
 
@@ -109,7 +109,7 @@ print(generate_command("List all files in the current directory with detailed in
 ```python
 from unsloth import FastLanguageModel
 
-model_id = "hrsvrn/linux-command-generator-llama3.2-1b"
+model_id = "mecha-org/linux-command-generator-llama3.2-1b"
 model, tokenizer = FastLanguageModel.from_pretrained(model_name=model_id, max_seq_length=2048)
 FastLanguageModel.for_inference(model)
 
@@ -174,7 +174,7 @@ Derived from Meta Llama 3.2. Use must comply with the base model license. Check
   author  = {Harshvardhan Vatsa},
   title   = {Linux Command Generator (Llama 3.2 1B)},
   year    = {2025},
-  url     = {https://huggingface.co/hrsvrn/linux-command-generator-llama3.2-1b}
+  url     = {https://huggingface.co/mecha-org/linux-command-generator-llama3.2-1b}
 }
 ```