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feat(model): Support Yi-1.5 models (#1516)
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@ -158,6 +158,9 @@ At present, we have introduced several key features to showcase our current capa
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We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more.
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We offer extensive model support, including dozens of large language models (LLMs) from both open-source and API agents, such as LLaMA/LLaMA2, Baichuan, ChatGLM, Wenxin, Tongyi, Zhipu, and many more.
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- News
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- News
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- 🔥🔥🔥 [Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat)
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- 🔥🔥🔥 [Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat)
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- 🔥🔥🔥 [Yi-1.5-6B-Chat](https://huggingface.co/01-ai/Yi-1.5-6B-Chat)
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- 🔥🔥🔥 [Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
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- 🔥🔥🔥 [Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
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- 🔥🔥🔥 [Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)
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- 🔥🔥🔥 [Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)
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- 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
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- 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
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@ -152,6 +152,9 @@
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海量模型支持,包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型:
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海量模型支持,包括开源、API代理等几十种大语言模型。如LLaMA/LLaMA2、Baichuan、ChatGLM、文心、通义、智谱等。当前已支持如下模型:
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- 新增支持模型
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- 新增支持模型
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- 🔥🔥🔥 [Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat)
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- 🔥🔥🔥 [Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat)
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- 🔥🔥🔥 [Yi-1.5-6B-Chat](https://huggingface.co/01-ai/Yi-1.5-6B-Chat)
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- 🔥🔥🔥 [Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
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- 🔥🔥🔥 [Qwen1.5-110B-Chat](https://huggingface.co/Qwen/Qwen1.5-110B-Chat)
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- 🔥🔥🔥 [Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)
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- 🔥🔥🔥 [Qwen1.5-MoE-A2.7B-Chat](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat)
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- 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
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- 🔥🔥🔥 [Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
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@ -174,6 +174,10 @@ LLM_MODEL_CONFIG = {
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# https://huggingface.co/01-ai/Yi-34B-Chat-4bits
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# https://huggingface.co/01-ai/Yi-34B-Chat-4bits
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"yi-34b-chat-4bits": os.path.join(MODEL_PATH, "Yi-34B-Chat-4bits"),
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"yi-34b-chat-4bits": os.path.join(MODEL_PATH, "Yi-34B-Chat-4bits"),
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"yi-6b-chat": os.path.join(MODEL_PATH, "Yi-6B-Chat"),
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"yi-6b-chat": os.path.join(MODEL_PATH, "Yi-6B-Chat"),
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# https://huggingface.co/01-ai/Yi-1.5-6B-Chat
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"yi-1.5-6b-chat": os.path.join(MODEL_PATH, "Yi-1.5-6B-Chat"),
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"yi-1.5-9b-chat": os.path.join(MODEL_PATH, "Yi-1.5-9B-Chat"),
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"yi-1.5-34b-chat": os.path.join(MODEL_PATH, "Yi-1.5-34B-Chat"),
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# https://huggingface.co/google/gemma-7b-it
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# https://huggingface.co/google/gemma-7b-it
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"gemma-7b-it": os.path.join(MODEL_PATH, "gemma-7b-it"),
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"gemma-7b-it": os.path.join(MODEL_PATH, "gemma-7b-it"),
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# https://huggingface.co/google/gemma-2b-it
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# https://huggingface.co/google/gemma-2b-it
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@ -524,11 +524,11 @@ def get_model_adapter(
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"""
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"""
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adapter = None
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adapter = None
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# First find adapter by model_name
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# First find adapter by model_name
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for adapter_entry in model_adapters:
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for adapter_entry in model_adapters[::-1]:
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if adapter_entry.model_adapter.match(model_type, model_name, None):
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if adapter_entry.model_adapter.match(model_type, model_name, None):
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adapter = adapter_entry.model_adapter
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adapter = adapter_entry.model_adapter
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break
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break
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for adapter_entry in model_adapters:
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for adapter_entry in model_adapters[::-1]:
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if adapter_entry.model_adapter.match(model_type, None, model_path):
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if adapter_entry.model_adapter.match(model_type, None, model_path):
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adapter = adapter_entry.model_adapter
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adapter = adapter_entry.model_adapter
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break
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break
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@ -135,6 +135,41 @@ class YiAdapter(NewHFChatModelAdapter):
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)
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)
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class Yi15Adapter(YiAdapter):
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"""Yi 1.5 model adapter."""
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def do_match(self, lower_model_name_or_path: Optional[str] = None):
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return (
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lower_model_name_or_path
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and "yi-" in lower_model_name_or_path
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and "1.5" in lower_model_name_or_path
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and "chat" in lower_model_name_or_path
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)
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def get_str_prompt(
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self,
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params: Dict,
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messages: List[ModelMessage],
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tokenizer: Any,
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prompt_template: str = None,
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convert_to_compatible_format: bool = False,
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) -> Optional[str]:
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str_prompt = super().get_str_prompt(
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params,
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messages,
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tokenizer,
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prompt_template,
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convert_to_compatible_format,
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)
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terminators = [
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tokenizer.eos_token_id,
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]
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exist_token_ids = params.get("stop_token_ids", [])
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terminators.extend(exist_token_ids)
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params["stop_token_ids"] = terminators
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return str_prompt
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class Mixtral8x7BAdapter(NewHFChatModelAdapter):
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class Mixtral8x7BAdapter(NewHFChatModelAdapter):
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"""
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"""
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https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
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https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
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@ -335,7 +370,10 @@ class Llama3Adapter(NewHFChatModelAdapter):
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return str_prompt
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return str_prompt
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# The following code is used to register the model adapter
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# The last registered model adapter is matched first
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register_model_adapter(YiAdapter)
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register_model_adapter(YiAdapter)
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register_model_adapter(Yi15Adapter)
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register_model_adapter(Mixtral8x7BAdapter)
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register_model_adapter(Mixtral8x7BAdapter)
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register_model_adapter(SOLARAdapter)
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register_model_adapter(SOLARAdapter)
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register_model_adapter(GemmaAdapter)
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register_model_adapter(GemmaAdapter)
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