mirror of
https://github.com/LostRuins/koboldcpp.git
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Merge branch 'master' into concedo
# Conflicts: # .github/workflows/build.yml # CMakeLists.txt # Makefile # README.md
This commit is contained in:
@@ -1,7 +1,7 @@
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---
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name: Custom issue template
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about: Used to report user-related issues with the software
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title: "[User] I encountered a problem .."
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name: Issue and enhancement template
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about: Used to report issues and request enhancements for llama.cpp
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title: "[User] Insert summary of your issue or enhancement.."
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labels: ''
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assignees: ''
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@@ -18,11 +18,11 @@ Please answer the following questions for yourself before submitting an issue.
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# Expected Behavior
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Please provide a detailed written description of what you were trying to do, and what you expected `lamma.cpp` to do.
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Please provide a detailed written description of what you were trying to do, and what you expected `llama.cpp` to do.
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# Current Behavior
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Please provide a detailed written description of what `lamma.cpp` did, instead.
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Please provide a detailed written description of what `llama.cpp` did, instead.
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# Environment and Context
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@@ -44,20 +44,6 @@ $ make --version
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$ g++ --version
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```
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# Models
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* The LLaMA models are officially distributed by Facebook and will never be provided through this repository. See this [pull request in Facebook's LLaMA repository](https://github.com/facebookresearch/llama/pull/73/files) if you need to obtain access to the model data.
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* If your issue is with model conversion please verify the `sha256sum` of each of your `consolidated*.pth` and `ggml-model-XXX.bin` files to confirm that you have the correct model data files before logging an issue. [Latest sha256 sums for your reference](https://github.com/ggerganov/llama.cpp/issues/238).
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* If your issue is with model generation quality then please at least scan the following links and papers to understand the limitations of LLaMA models. This is especially important when choosing an appropriate model size and appreciating both the significant and subtle differences between LLaMA models and ChatGPT:
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* LLaMA:
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* [Introducing LLaMA: A foundational, 65-billion-parameter large language model](https://ai.facebook.com/blog/large-language-model-llama-meta-ai/)
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* [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971)
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* GPT-3
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* [Language Models are Few-Shot Learners](https://arxiv.org/abs/2005.14165)
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* GPT-3.5 / InstructGPT / ChatGPT:
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* [Aligning language models to follow instructions](https://openai.com/research/instruction-following)
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* [Training language models to follow instructions with human feedback](https://arxiv.org/abs/2203.02155)
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# Failure Information (for bugs)
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Please help provide information about the failure if this is a bug. If it is not a bug, please remove the rest of this template.
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@@ -75,8 +61,9 @@ Please provide detailed steps for reproducing the issue. We are not sitting in f
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Please include any relevant log snippets or files. If it works under one configuration but not under another, please provide logs for both configurations and their corresponding outputs so it is easy to see where behavior changes.
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Also, please try to **avoid using screenshots** if at all possible. Instead, copy/paste the console output and use [Github's markdown](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) to cleanly format your logs for easy readability. e.g.
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Also, please try to **avoid using screenshots** if at all possible. Instead, copy/paste the console output and use [Github's markdown](https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax) to cleanly format your logs for easy readability.
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Example environment info:
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```
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llama.cpp$ git log | head -1
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commit 2af23d30434a677c6416812eea52ccc0af65119c
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@@ -103,8 +90,8 @@ GNU Make 4.3
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$ md5sum ./models/65B/ggml-model-q4_0.bin
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dbdd682cce80e2d6e93cefc7449df487 ./models/65B/ggml-model-q4_0.bin
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```
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Here's a run with the Linux command [perf](https://www.brendangregg.com/perf.html)
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Example run with the Linux command [perf](https://www.brendangregg.com/perf.html)
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```
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llama.cpp$ perf stat ./main -m ./models/65B/ggml-model-q4_0.bin -t 16 -n 1024 -p "Please close your issue when it has been answered."
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main: seed = 1679149377
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Reference in New Issue
Block a user