For MiniCPM-V (vision version) MODEL_NAME=MiniCPM-V QUANTIZATION=q4f16_1 MODEL_TYPE=minicpm_v mlc_chat convert_weight --model-type ${MODEL_TYPE} ./dist/models/${MODEL_NAME}-hf/ --quantization $QUANTIZATION -o dist/$MODEL_NAME/ mlc_chat gen_config --model-type ${MODEL_TYPE} ./dis...
- AICommand是将ChatGPT与Unity编辑器集成的工具。 - Assistant CLI是一个方便的命令行工具,用于使用ChatGPT服务。 - Auto-GPT是一个试图使GPT-4完全自主的实验性开源尝试。 - BabyAGI是一个AI驱动的任务管理系统的示例Python脚本。 - Baichuan-7B是由Baichuan开发的大规模7B预训练语言模型。 - Baichuan-13B是由...
MiniCPMTsinghua UniversityA GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone Gemma2-9BGoogleGemma 2: Improving Open Language Models at a Practical Size Qwen2-0.5BAlibaba GroupQwen Technical Report GLM-EdgeTHUDMGLM-Edge Github Page ...
MiniCPM-2B-SFT/DPO的Int4量化版MiniCPM-2B-SFT/DPO-Int4。 基于MLC-LLM、LLMFarm开发的MiniCPM手机端程序,文本及多模态模型均可在手机端进行推理。 局限性: 受限于模型规模,模型可能出现幻觉性问题。其中由于DPO模型生成的回复内容更长,更容易出现幻觉。我们也将持续进行MiniCPM模型的迭代改进。
MODEL_TYPE=minicpm_v mlc_chat convert_weight --model-type ${MODEL_TYPE} ./dist/models/${MODEL_NAME}-hf/ --quantization $QUANTIZATION -o dist/$MODEL_NAME/ mlc_chat gen_config --model-type ${MODEL_TYPE} ./dist/models/${MODEL_NAME}-hf/ --quantization $QUANTIZATION --conv-template LM...
⚙️ Request New Models Link to an existing implementation (e.g. Hugging Face/Github): Is this model architecture supported by MLC-LLM? (the list of supported models) Additional context hi! when minicpm-o-2.6 can transform to MLC...
MiniCPM on Android platform. Contribute to OpenBMB/mlc-MiniCPM development by creating an account on GitHub.
MiniCPM3 is a impressive model which have gpt3-level performence in a 4B size lin-calvin added the new-models label Nov 30, 2024 github-project-automation bot added this to MLC LLM Model Request Tracking Nov 30, 2024 Sign up for free to join this conversation on GitHub. Already have...
from mlc_llm.support.style import bold @@ -45,6 +46,7 @@ class MiniCPMConfig(ConfigBase): # pylint: disable=too-many-instance-attributes context_window_size: int = 0 prefill_chunk_size: int = 0 tensor_parallel_shards: int = 1 head_dim: int = 0 max_batch_size: int = 1 num_ex...
For MiniCPM MODEL_NAME=MiniCPM QUANTIZATION=q4f16_1 MODEL_TYPE=minicpm mlc_chat convert_weight --model-type ${MODEL_TYPE} ./dist/models/${MODEL_NAME}-hf/ --quantization $QUANTIZATION -o dist/$MODEL_NAME/ mlc_chat gen_config --model-type ${MODEL_TYPE} ./dist/models/${MODEL_NAME}-...