(config.hidden_size, config.num_experts, bias=False) # 最终保持hidden_size不变Qwen2MoeMLP self.experts = nn.ModuleList( [Qwen2MoeMLP(config, intermediate_size=config.moe_intermediate_size) for _ in range(self.num_experts)] ) self.shared_expert = Qwen2MoeMLP(config, intermediate_size=...
add support for Qwen2MoE. 0f1c440 fix pytest 00a03ec Perhaps you could invite the QWEM team for assistance? Qwen was originally planning to start supporting mlx soon. Since you've moved up the schedule. Maybe you can try collaborating with them?
Recently, the new codes of Qwen2MoE to Hugging Face Transformers, and thus I would love to contribute the new model to vLLM as well. In this PR, I have provided the implementation of Qwen2MoE model and add some notes on it.
最近,通义千问开源首个Qwen系列MoE模型,27亿激活参数,性能却可与70亿参数模型相媲美,有较好的中文写作、数学运算、推理能力。 本期视频,我们手把手教大家如何使用这款高性价比模型~ Qwen1.5-MoE模型架构:...
Qwen2:最强开源大模型 | Qwen2是自Llama 3以来最具影响力的开放大型语言模型发布! Qwen2有5种尺寸,训练了29种语言,在学术和聊天基准上达到了最先进的性能!4个模型采用Apache 2.0许可证 尺寸: 0.5B, 1.5B, 7B, 57B-14B (MoE), 72B 作为基础版和指令版 ...
通义千问团队推出Qwen系列的首个MoE模型,Qwen1.5-MoE-A2.7B。它仅拥有27亿个激活参数,但其性能却能与当前最先进的70亿参数模型,如Mistral 7B和Qwen1.5-7B相媲美。相较于包含65亿个Non-Embedding参数的Qwen1.5-7B,Qwen1.5-MoE-A2.7B只有20亿个Non-Embedding参数,约为原模型大小的三分之一。此外,相比Qwen1.5-...
你好，wellcasa。Neural Magic(特别是@ElizaWszola)正在通过扩展Marlin内核为GPTQ模型提供MoE支持。虽然...
class Qwen2MoeModel(Model): model_arch = gguf.MODEL_ARCH.QWEN2MOE def set_gguf_parameters(self): super().set_gguf_parameters() if (n_experts := self.hparams.get("num_experts")) is not None: self.gguf_writer.add_expert_count(n_experts) @Model.register("GPT2LMHeadModel") class...
self.model = Qwen2MoeModel(args) self.lm_head = nn.Linear(args.hidden_size, args.vocab_size, bias=False) def __call__( self, inputs: mx.array, cache=None, ): out, cache = self.model(inputs, cache) return self.lm_head(out), cache def sanitize(self, weights): if self.args....
2.qwen2.5 72b int83. Deepseek v25 236b q2k4.mistral large 123b5.mistral 8x22我最喜欢就是跑MOE, 另外可以跑也可以跑跑Lora和qlora微调一下模型,140W电源就能满足。……12.8日更新,先跑几个热门的,欢迎大家来比较,如果没有特别指明,都是跑int4 量化:1. mistral large 123b,惨烈5tokens每秒,只能...