fix: ExLlama Backend Context Size & Rope Scaling (#1311)

* fix: context_size not propagated to exllama backend

* fix: exllama rope scaling

backend/python/exllama/exllama.py

@@ -63,6 +63,19 @@ def LoadModel(self, request, context):
 
             config = ExLlamaConfig(model_config_path)               # create config from config.json
             config.model_path = model_path                          # supply path to model weights file
+            if (request.ContextSize):
+                config.max_seq_len = request.ContextSize            # override max sequence length
+                config.max_attention_size = request.ContextSize**2  # Should be set to context_size^2. 
+                # https://github.com/turboderp/exllama/issues/220#issuecomment-1720324163
+
+            # Set Rope scaling.
+            if (request.RopeFreqScale):
+                # Alpha value for Rope scaling. 
+                # Higher value increases context but adds perplexity.
+                # alpha_value and compress_pos_emb are mutually exclusive.
+                # https://github.com/turboderp/exllama/issues/115
+                config.alpha_value = request.RopeFreqScale
+                config.calculate_rotary_embedding_base()
 
             model = ExLlama(config)                                 # create ExLlama instance and load the weights
             tokenizer = ExLlamaTokenizer(tokenizer_path)            # create tokenizer from tokenizer model file