XiaomiMiMo/MiMo-V2.6-Flash-MOPD开源了新模型

Xiaomi MiMo XiaomiMiMo/MiMo-V2.6-Flash-MOPD XiaomiMiMo/MiMo-V2.6-Flash-MOPD https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD

XiaomiMiMo/MiMo-V2.6-Flash-MOPD · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/XiaomiMiMo) XiaomiMiMo (https://huggingface.co/XiaomiMiMo) / MiMo-V2.6-Flash-MOPD (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD) Like 50 Follow Xiaomi MiMo 4.89k Text Generation (https://huggingface.co/models?pipeline_tag=text-generation) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) English (https://huggingface.co/models?language=en) Chinese (https://huggingface.co/models?language=zh) mimo_v2 (https://huggingface.co/models?other=mimo_v2) multimodal (https://huggingface.co/models?other=multimodal) vision-language (https://huggingface.co/models?other=vision-language) audio (https://huggingface.co/models?other=audio) agent (https://huggingface.co/models?other=agent) video-understanding (https://huggingface.co/models?other=video-understanding) long-context (https://huggingface.co/models?other=long-context) conversational (https://huggingface.co/models?other=conversational) custom_code (https://huggingface.co/models?other=custom_code) 8-bit precision (https://huggingface.co/models?other=8-bit) fp8 (https://huggingface.co/models?other=fp8) License: mit Model card (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD) Files Files and versions xet (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD/tree/main) Community (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD/discussions) Deploy Copy to bucket new Use this model Instructions to use XiaomiMiMo/MiMo-V2.6-Flash-MOPD with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD?library=transformers) How to use XiaomiMiMo/MiMo-V2.6-Flash-MOPD with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="XiaomiMiMo/MiMo-V2.6-Flash-MOPD", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages) # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("XiaomiMiMo/MiMo-V2.6-Flash-MOPD", trust_remote_code=True, device_map="auto") Notebooks Google Colab (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD/colab) Kaggle (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD/kaggle) Local Apps Settings (https://huggingface.co/settings/local-apps) vLLM (https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD?local-app=vllm) How to use XiaomiMiMo/MiMo-V2.6-Flash-MOPD with vLLM: