Comments (1)
Please upgrade to latest mlc llm and mlc-ai per instruction
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Related Issues (20)
- [Question] Where is Cascade Inference implemented?
- [Question] How to enable the CLI tool to be supported on Android
- [Bug] Android load model crash. org.apache.tvm.Base$TVMError: InternalError: Check failed: type_code_ == kTVMObjectHandle (0 vs. 8) : expected Object but got int HOT 2
- [Question] Convert weight doesn't create ndarray-cache.json file HOT 1
- [Bug] Importing MLC LLM disables color logging for `rich` HOT 1
- RAG support
- very slow on Mac m3
- [Bug] crash when init qwen2 model HOT 4
- [Bug] Do NOT know how to handle return type code 15 HOT 4
- [Question] Speculative Decoding Metrics Variable
- [Trying to compile my fine-tuned llama3 llm using MLC-LLM but keep running to this] HOT 1
- [Bug] Insufficient Memory Error (although there's sufficient memory available)
- [Question] Prefix cache with prompts dedupe
- [Feature Request] Novel Config Enhancements: Min-P & DRY Penalization
- [Bug] Android app crashes after loading the model with `org.apache.tvm.Base$TVMError: InternalError: Check failed: type_code_ == kDLInt (8 vs. 0) : expected int but got Object` error HOT 1
- [Question] HOT 2
- [Bug] Speculative decoding with 2 additional models
- [Model Request] gorilla-llm/gorilla-openfunctions-v2 (7B model with functional calling performance is On-par with GPT-4)
- [Question] libtvm4j.so missing when run in phone HOT 2
- [Question] Does MLC support AWQ quantization method to quantize Qwen2-7B-Instruct
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