add model weights

README.md

@@ -1,20 +1,17 @@
 ---
-
-library\_name: pr0methium/ReelevateLM-q4f16
-base\_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+library_name: mlc-llm
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
 tags:
-
-* mlc-llm
-* web-llm
-* llama-3.1
-* instruct
-* q4f16
-
+- mlc-llm
+- web-llm
+- llama-3.1
+- instruct
+- q4f16_1
 ---
 
 # ReelevateLM-q4f16
 
-This is the [Meta Llama 3.1 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) model fine‑tuned with LoRA and converted to MLC format `q4f16_1`.
+This is the [Meta Llama 3.1 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) model fine‑tuned with LoRA and converted to MLC format `q4f16_1`.
 
 The model can be used in:
 
@@ -28,13 +25,13 @@ Before running any examples, install MLC LLM by following the [installation docu
 ### Chat (CLI)
 
 ```bash
-mlc_llm chat HF://pr0methium/ReelevateLM-q4f16
+mlc_llm chat HF://pr0methium/ReelevateLM-q4f16_1
 ```
 
 ### REST Server
 
 ```bash
-mlc_llm serve HF://pr0methium/ReelevateLM-q4f16
+mlc_llm serve HF://pr0methium/ReelevateLM-q4f16_1
 ```
 
 ### Python API
@@ -42,7 +39,7 @@ mlc_llm serve HF://pr0methium/ReelevateLM-q4f16
 ```python
 from mlc_llm import MLCEngine
 
-model = "HF://pr0methium/ReelevateLM-q4f16"
+model = "HF://pr0methium/ReelevateLM-q4f16_1"
 engine = MLCEngine(model)
 
 for response in engine.chat.completions.create(
@@ -59,4 +56,4 @@ engine.terminate()
 
 ## Documentation
 
-For more information on the MLC LLM project, please visit the [docs](https://llm.mlc.ai/docs/) and the [GitHub repo](https://github.com/mlc-ai/mlc-llm).
+For more information on the MLC LLM project, please visit the [docs](https://llm.mlc.ai/docs/) and the [GitHub repo](https://github.com/mlc-ai/mlc-llm).