char-fork/llama.cpp
git clone https://git.t4t.associates/char-fork/llama.cpp
a8078675a
char/aliceai-t5-moe
1name : Bug (model use) 2description : Something goes wrong when running a model (crashes, garbled outputs, etc.). 3title : "Eval bug: " 4labels : [ "bug-unconfirmed" , "model evaluation" ] 5body : 6- type : markdown 7attributes : 8value : > 9Thanks for taking the time to fill out this bug report! 10This issue template is intended for bug reports where the model evaluation results 11(i.e. the generated text) are incorrect or llama.cpp crashes during model evaluation. 12If you encountered the issue while using an external UI (e.g. ollama), 13please reproduce your issue using one of the examples/binaries in this repository. 14The `llama-completion` binary can be used for simple and reproducible model inference. 15 16Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy). 17- type : textarea 18id : version 19attributes : 20label : Name and Version 21description : Which version of our software are you running? (use `--version` to get a version string) 22placeholder : | 23$./llama-cli --version 24version: 2999 (42b4109e) 25built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu 26validations : 27required : true 28- type : dropdown 29id : operating-system 30attributes : 31label : Operating systems 32description : Which operating systems do you know to be affected? 33multiple : true 34options : 35- Linux 36- Mac 37- Windows 38- BSD 39- Other? (Please let us know in description) 40validations : 41required : true 42- type : dropdown 43id : backends 44attributes : 45label : GGML backends 46description : Which GGML backends do you know to be affected? 47options : [ AMX , BLAS , CANN , CPU , CUDA , Hexagon , HIP , Metal , Musa , OpenCL , OpenVINO , RPC , SYCL , VirtGPU , Vulkan , WebGPU , zDNN , ZenDNN ] 48multiple : true 49validations : 50required : true 51- type : textarea 52id : hardware 53attributes : 54label : Hardware 55description : Which CPUs/GPUs are you using? 56placeholder : > 57e.g. Ryzen 5950X + 2x RTX 4090 58validations : 59required : true 60- type : textarea 61id : model 62attributes : 63label : Models 64description : > 65Which model(s) at which quantization were you using when encountering the bug? 66If you downloaded a GGUF file off of Huggingface, please provide a link. 67placeholder : > 68e.g. Meta LLaMA 3.1 Instruct 8b q4_K_M 69validations : 70required : false 71- type : textarea 72id : info 73attributes : 74label : Problem description & steps to reproduce 75description : > 76Please give us a summary of the problem and tell us how to reproduce it. 77If you can narrow down the bug to specific hardware, compile flags, or command line arguments, 78that information would be very much appreciated by us. 79 80If possible, please try to reproduce the issue using `llama-completion` with `-fit off`. 81If you can only reproduce the issue with `-fit on`, please provide logs both with and without `--verbose`. 82placeholder : > 83e.g. when I run llama-completion with `-fa on` I get garbled outputs for very long prompts. 84With short prompts or `-fa off` it works correctly. 85Here are the exact commands that I used: ... 86validations : 87required : true 88- type : textarea 89id : first_bad_commit 90attributes : 91label : First Bad Commit 92description : > 93If the bug was not present on an earlier version: when did it start appearing? 94If possible, please do a git bisect and identify the exact commit that introduced the bug. 95validations : 96required : false 97- type : textarea 98id : logs 99attributes : 100label : Relevant log output 101description : > 102Please copy and paste any relevant log output, including the command that you entered and any generated text. 103For very long logs (thousands of lines), please upload them as files instead; the `--log-file` CLI argument can be used for this purpose. 104On Linux you can alternatively redirect the console output of any command into a file by appending ` > llama.log 2>&1` to your command. 105value : | 106<details> 107<summary>Logs</summary> 108<!-- Copy-pasted short logs go into the "console" area here --> 109 110```console 111 112``` 113</details> 114 115<!-- Long logs that you upload as files go here, outside the "console" area --> 116validations : 117required : true