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[update] add cmm_size & precompute
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@@ -77,8 +77,8 @@ class LlmClientBackend(BaseModelBackend):
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await asyncio.sleep(retry_interval)
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await asyncio.wait_for(self._pool_lock.acquire(), timeout=timeout - (time.time() - start_time))
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# if "memory_required" in self.config:
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# await self.memory_checker.check_memory(self.config["memory_required"])
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if "memory_required" in self.config:
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await self.memory_checker.check_memory(self.config["memory_required"])
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self.logger.debug("Creating new LLM client")
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client = LLMClient(
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@@ -56,6 +56,13 @@ class GetModelList:
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"object": f"{model_type}.setup",
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"system_prompt": "You are a helpful assistant."
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})
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mode_param = model_data.get("mode_param", {})
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precompute_len = None
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cmm_size = None
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if isinstance(mode_param, dict):
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precompute_len = mode_param.get("precompute_len")
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cmm_size = mode_param.get("cmm_size")
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if '-1.5B-' in mode:
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new_entry['memory_required'] = 1782579
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new_entry['pool_size'] = 1
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@@ -68,6 +75,8 @@ class GetModelList:
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else:
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new_entry['memory_required'] = 1363148
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new_entry['pool_size'] = 2
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if cmm_size is not None:
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new_entry['memory_required'] = cmm_size
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if '-p256-' in mode:
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new_entry['max_context_length'] = 256
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@@ -81,6 +90,9 @@ class GetModelList:
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if '-ctx-' in mode:
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new_entry['max_context_length'] = 1024
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if precompute_len is not None:
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new_entry['max_context_length'] = precompute_len
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elif model_type == 'tts':
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if 'melotts' in mode.lower():
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obj = 'melotts.setup'
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