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## タイトル: LIME-M：巨大言語モデル評価における「Less Is More」アプローチ
## リンク: https://arxiv.org/abs/2409.06851
## 概要:
マルチモーダル大規模言語モデル（MLLM）の著しい成功に伴い、画像認識タスク（例：画像キャプション生成、画像質問応答）におけるMLLMの能力を評価し、その開発を導くために、数多くのベンチマークが設計…
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I am attempting to use FlexFlow to compare the inference speed to vLLM, but FlexFlow appears to be an order of magnitude slower than vLLM and I've been running into many errors. Testing on a Linux ser…
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Hi,
I'm currently trying to replicate the performance of Qwen2-Audio on the AIR Bench. However, I noticed that the repository at [AIR-Bench](https://github.com/OFA-Sys/AIR-Bench/blob/main/score_cha…
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运行xtuner train /root/autodl-tmp/ft/config/internlm2_chat_7b_qlora_alpaca_e3_copy.py --work-dir /root/autodl-tmp/ft/train时
`[2024-05-30 17:18:47,089] [INFO] [real_accelerator.py:203:get_accelerator] S…
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[x] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.
**Describe the bug**
LLM is started by ollama, so there's no connection issue and …
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I have tested the inference speed and memory usage of Qwen1.5-14b on my machine using the example in ipex-llm. The peek cpu usage to load Qwen1.5-14b in 4-bit is about 24GB. The peek GPU usage is abou…
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## Objective
Develop an intelligent sampling algorithm that can extract representative content from entire documents or collections of documents, ensuring balanced representation in validation prompt…
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### Feature request
To build a generic script/pipeline which takes input as :
- Model name
- One or multiple recording
Then the pipeline should:
- Build prompts from events from recording.
…
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add a section about testing llms, this is crucial
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## Overview
- We need your help to deploy a large language model on NVIDIA Jetson devices and allow people can use words to control the connections/interfaces on the board.
- This is the preparation…