[GH-ISSUE #4167] abnormal reply of Llama-3-ChatQA-1.5-8B-GGUF #2590

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opened 2026-04-12 12:56:27 -05:00 by GiteaMirror · 7 comments
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Originally created by @taozhiyuai on GitHub (May 5, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/4167

What is the issue?

import Llama-3-ChatQA-1.5-8B-GGUF to ollama, but reply is abnormal. I have tried many gguf version of this model from different username on HF.

OS

macOS

GPU

Apple

CPU

Apple

Ollama version

0.1..32

Originally created by @taozhiyuai on GitHub (May 5, 2024). Original GitHub issue: https://github.com/ollama/ollama/issues/4167 ### What is the issue? import Llama-3-ChatQA-1.5-8B-GGUF to ollama, but reply is abnormal. I have tried many gguf version of this model from different username on HF. ### OS macOS ### GPU Apple ### CPU Apple ### Ollama version 0.1..32
GiteaMirror added the bug label 2026-04-12 12:56:27 -05:00
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@DuckyBlender commented on GitHub (May 5, 2024):

Llama 3 ChatQA is a very wierd model which is optimised for RAG. It's still not 100% supported in ollama

<!-- gh-comment-id:2094902193 --> @DuckyBlender commented on GitHub (May 5, 2024): Llama 3 ChatQA is a very wierd model which is optimised for RAG. It's still not 100% supported in ollama
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@taozhiyuai commented on GitHub (May 5, 2024):

Llama 3 ChatQA is a very wierd model which is optimised for RAG. It's still not 100% supported in ollama

70B works. only 8B not. even I try 8B GGUF in LM Studio, it doesn't work.

https://ollama.com/taozhiyuai/llama3-chatqa-1.5-70b.q4_k_m

https://ollama.com/taozhiyuai/llama3-chatqa-1.5-70b.q8_0

<!-- gh-comment-id:2094979901 --> @taozhiyuai commented on GitHub (May 5, 2024): > Llama 3 ChatQA is a very wierd model which is optimised for RAG. It's still not 100% supported in ollama 70B works. only 8B not. even I try 8B GGUF in LM Studio, it doesn't work. https://ollama.com/taozhiyuai/llama3-chatqa-1.5-70b.q4_k_m https://ollama.com/taozhiyuai/llama3-chatqa-1.5-70b.q8_0
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@lazyracket commented on GitHub (May 9, 2024):

@taozhiyuai Take a look at this: https://github.com/ollama/ollama/issues/4101#issuecomment-2101187527
The .GGUF file is fine because it works well in LM Studio, so the Modelfile for Ollama is probably written incorrectly...

<!-- gh-comment-id:2101973874 --> @lazyracket commented on GitHub (May 9, 2024): @taozhiyuai Take a look at this: https://github.com/ollama/ollama/issues/4101#issuecomment-2101187527 The .GGUF file is fine because it works well in LM Studio, so the `Modelfile` for Ollama is probably written incorrectly...
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@thinkverse commented on GitHub (May 11, 2024):

Maybe try the version The Ollama team released a few hours ago - https://ollama.com/library/llama3-chatqa, as part of the 0.1.35 release.

<!-- gh-comment-id:2105505351 --> @thinkverse commented on GitHub (May 11, 2024): Maybe try the version The Ollama team released a few hours ago - https://ollama.com/library/llama3-chatqa, as part of the [0.1.35 release](https://github.com/ollama/ollama/releases/tag/v0.1.35).
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@lazyracket commented on GitHub (May 11, 2024):

Maybe try the version The Ollama team released a few hours ago - https://ollama.com/library/llama3-chatqa, as part of the 0.1.35 release.

Just tested it and it's working.

<!-- gh-comment-id:2105573531 --> @lazyracket commented on GitHub (May 11, 2024): > Maybe try the version The Ollama team released a few hours ago - https://ollama.com/library/llama3-chatqa, as part of the [0.1.35 release](https://github.com/ollama/ollama/releases/tag/v0.1.35). Just tested it and it's working.
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@Erik262 commented on GitHub (May 11, 2024):

Do you know which Embedding Model works best with llama3-chatqa? or in general? (5GB max model size)

<!-- gh-comment-id:2105594838 --> @Erik262 commented on GitHub (May 11, 2024): Do you know which Embedding Model works best with llama3-chatqa? or in general? (5GB max model size)
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@lazyracket commented on GitHub (May 11, 2024):

Do you know which Embedding Model works best with llama3-chatqa? or in general? (5GB max model size)

Also confused about this, testing it for dialog now works well enough, but how to apply it to RAG is more appropriate...

<!-- gh-comment-id:2105608307 --> @lazyracket commented on GitHub (May 11, 2024): > Do you know which Embedding Model works best with llama3-chatqa? or in general? (5GB max model size) Also confused about this, testing it for dialog now works well enough, but how to apply it to RAG is more appropriate...
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Reference: github-starred/ollama#2590