update README & config.json

README.md

@@ -33,7 +33,8 @@ Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (
 - Number of Paramaters (Non-Embedding): 6.53B
 - Number of Layers: 28
 - Number of Attention Heads (GQA): 28 for Q and 4 for KV
-- Context Length: 131,072 tokens
+- Context Length: Full 131,072 tokens
+  - Please refer to [this section](#processing-long-texts) for detailed instructions on how to deploy Qwen2.5 for handling long texts.
   
 **We do not recommend using base language models for conversations.** Instead, you can apply post-training, e.g., SFT, RLHF, continued pretraining, etc., or fill in the middle tasks on this model.
 
@@ -48,6 +49,27 @@ With `transformers<4.37.0`, you will encounter the following error:
 KeyError: 'qwen2'
 ```
 
+### Processing Long Texts
+
+The current `config.json` is set for context length up to 32,768 tokens.
+To handle extensive inputs exceeding 32,768 tokens, we utilize [YaRN](https://arxiv.org/abs/2309.00071), a technique for enhancing model length extrapolation, ensuring optimal performance on lengthy texts.
+
+For supported frameworks, you could add the following to `config.json` to enable YaRN:
+```json
+{
+  ...,
+  "rope_scaling": {
+    "factor": 4.0,
+    "original_max_position_embeddings": 32768,
+    "type": "yarn"
+  }
+}
+```
+
+For deployment, we recommend using vLLM. 
+Please refer to our [Documentation](https://qwen.readthedocs.io/en/latest/deployment/vllm.html) for usage if you are not familar with vLLM.
+Presently, vLLM only supports static YARN, which means the scaling factor remains constant regardless of input length, **potentially impacting performance on shorter texts**. 
+We advise adding the `rope_scaling` configuration only when processing long contexts is required.
 
 ## Evaluation & Performance
 

config.json

@@ -9,7 +9,7 @@
   "hidden_size": 3584,
   "initializer_range": 0.02,
   "intermediate_size": 18944,
-  "max_position_embeddings": 131072,
+  "max_position_embeddings": 32768,
   "max_window_layers": 28,
   "model_type": "qwen2",
   "num_attention_heads": 28,
@@ -23,10 +23,5 @@
   "transformers_version": "4.45.0.dev0",
   "use_cache": true,
   "use_sliding_window": false,
-  "vocab_size": 152064,
-  "rope_scaling": {
-    "factor": 4.0,
-    "original_max_position_embeddings": 32768,
-    "type": "yarn"
-  }
+  "vocab_size": 152064
 }