Add 50B

README.md

@@ -39,9 +39,18 @@ This official repository unveils the TransNormerLLM3 model along with its open-s
 
 # Released Weights
 
-|  param  | token | Hugging Face | Model Scope | Wisemodel |
-| :-----: | :---: | :----------: | :---------: | :-------: |
-| **15B** |  50B  |      🤗       |      🤖      |     🐯     |
+|  param  | token |                                                     Hugging Face                                                     | Model Scope | Wisemodel |
+| :-----: | :---: | :------------------------------------------------------------------------------------------------------------------: | :---------: | :-------: |
+| **15B** |  50B  | 🤗[step13000](ttps://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step13000-50Btokens) |      🤖      |     🐯     |
+
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints", revision='step13000-50Btokens', trust_remote_code=True)
+
+model = AutoModelForCausalLM.from_pretrained("OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints", torch_dtype=torch.bfloat16,revision='step13000-50Btokens', device_map="auto", trust_remote_code=True)
+```
 
 # Benchmark Results
 The evaluations of all models are conducted using the official settings and the [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) framework.