ggml-large-v3.bin是Whisper模型的一个本地C/C++实现版本,该版本具有高性能、无依赖和轻量级等特点。 Whisper模型是一个自动语音识别(ASR)系统,它经过大量多语言和多任务的监督数据训练,能够进行多语言语音识别、语音翻译和语言识别等任务。Whisper.cpp项目使得这个模型能够在不同的平台上以本地方式运行,包括但不限...
convert-whisper-to-coreml.py convert-whisper-to-openvino.py download-coreml-model.sh download-ggml-model.cmd download-ggml-model.sh for-tests-ggml-base.bin for-tests-ggml-base.en.bin for-tests-ggml-large.bin for-tests-ggml-medium.bin ...
Eval bug: input is too large to process. increase the physical batch size#12295 New issue OpenDescription yinghuo302 opened on Mar 10, 2025· edited by yinghuo302 Edits Name and Version version: 4837 (e721c05) built with MSVC 19.43.34808.0 for x64 Operating systems Windows GGML backends...
Large time behavior of solutions for compressible Euler equations with damping in <mml:math altimg="si1.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns...
whisper.cpp的ggml-large-v3.bin模型参数文件 Tr**ke上传900MB文件格式z03 Whisper.cpp是一个C/C++实现的模型,主要用于处理和识别语音数据。它通过与OpenAI Whisper模型的兼容,为开发者提供了一种高效且灵活的方式,以处理和分析语音数据。以下是对该模型参数文件的介绍:...
Large diffs are not rendered by default. 4 changes: 2 additions & 2 deletions 4 ggml/src/ggml-cuda/fattn-tile-f16.cu Original file line numberDiff line numberDiff line change @@ -302,14 +302,14 @@ void launch_fattn_tile_f16_64_128(ggml_backend_cuda_context & ctx, ggml_tensor...
For very large batch sizes the performance with FlashAttention decreases but the performance seems to be optimal with a batch size of 512 anyways. sorasoras commented May 16, 2024 ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes ggml_cuda_init: found...
LLMFarm is an iOS and MacOS app to work with large language models (LLM). It allows you to load different LLMs with certain parameters.With LLMFarm, you can test the performance of different LLMs on iOS and macOS and find the most suitable model for your project. Based on ggml and ...
GGML backends CUDA Hardware A800 * 2 ; Models bge-reranker-v2-m3, q8_0 Problem description & steps to reproduce when I use llama-server to inference, I get this error: {"error":{"code":500,"message":"input is too large to process. increase the physical batch size","type":"server...