Update README.md

README.md

@@ -1,7 +1,4 @@
 ---
-license: other
-license_name: gml
-license_link: https://github.com/OpenBMB/General-Model-License/blob/main/%E9%80%9A%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE-%E6%9D%A5%E6%BA%90%E8%AF%B4%E6%98%8E-%E5%AE%A3%E4%BC%A0%E9%99%90%E5%88%B6-%E5%95%86%E4%B8%9A%E6%8E%88%E6%9D%83.md
 language:
 - en
 - zh
@@ -9,8 +6,22 @@ tags:
 - MiniCPM
 - ModelBest
 - THUNLP
+- mlx
+library_name: mlx
 ---
 
+# Important:
+made a seperate repo, because the OG creators didn't merge the safensors variant commit from the huggingface team, and due to the model_type property not existing in the config, (for my MiniCPM implementatino in mlx-examples). This is all fixed here.
+
+To use in mlx:
+
+```sh
+python -m mlx_lm.generate --model Isaak-Carter/MiniCPM-2B-dpo-fp32-safetensors --prompt "hello"
+```
+
+
+
+
 
 <div align="center">
 <h1>
@@ -98,7 +109,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 torch.manual_seed(0)
 
-path = 'openbmb/MiniCPM-2B-sft-fp32'
+path = 'openbmb/MiniCPM-2B-dpo-fp32'
 tokenizer = AutoTokenizer.from_pretrained(path)
 model = AutoModelForCausalLM.from_pretrained(path, torch_dtype=torch.float32, device_map='cuda', trust_remote_code=True)
 
@@ -151,4 +162,4 @@ print(responds)
  booktitle={OpenBMB Blog},
  year={2024}
 }
-```
+```