Qwen

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Qwen2-7B-Instruct-GGUF

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try to not offload to CUDA or enable flash attention (-fa in llama.cpp)

With flash attention enabled I get the same result, and if I set gpu layers to zero and tensorcores to off I get this:

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Okay, if I set it to CPU only mode as well, now it seems to work, it just runs slow.

Ah okay. Was hoping fa would work but maybe not. Either way there's a CUDA bug

Confirmed working after applying this patch.

I'm using jan.ai, I get the blocky error when using CUDA, using the CPU works fine but it's super slow. Is there any fix for CUDA?

I encountered the same issue. I was running qwen2 on ollama, but qwen2 returned a bunch of repeating
characters. This issue was resolved by adding the environment variable OLLAMA_FLASH_ATTENTION=1. The
corresponding connection is https://github.com/QwenLM/Qwen2?tab=readme-ov-file.

[Unit]
Description=Ollama Service
After=network-online.target

[Service]
ExecStart=/usr/bin/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3
Environment="OLLAMA_HOST=0.0.0.0"
Environment="OLLAMA_FLASH_ATTENTION=1"

[Install]
WantedBy=default.target

Above , Ollama serves' setting , I don't know how to add configs in Environment, so I add Environment again. Maybe I was wrong，but it is worked

在 LM STUDIO 環境內，關閉掉 GPU 加速，終於讓這個模型可以使用了! 難道是要大家不要使用 GPU 加速嗎? 別人的模型都沒有這樣問題

same