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Reference: github-starred/ollama#2549
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Originally created by @DuckyBlender on GitHub (May 2, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/4101
@DuckyBlender commented on GitHub (May 2, 2024):
ChatQA-1.5 has two variants: ChatQA-1.5-8B and ChatQA-1.5-70B.
Nvidia/ChatQA-1.5-70B: https://huggingface.co/nvidia/ChatQA-1.5-70B
Nvidia/ChatQA-1.5-8B: https://huggingface.co/nvidia/ChatQA-1.5-8B
@DuckyBlender commented on GitHub (May 2, 2024):
https://ollama.com/duckyblender/llama3-chatqa
gonna try to implement this one myself
@DuckyBlender commented on GitHub (May 2, 2024):
damn they updated the site LMAO it's now nvidia/Llama3-ChatQA-1.5-8B because of the licence this is actually so funny
@thinkverse commented on GitHub (May 2, 2024):
Yes, you need to log in or create an Ollama account on ollama.com, copy the Ollama public key to that account, and use
ollama push. 👍For more step-by-step instructions I recommend reading the import.md documentation file. 🙂
@DuckyBlender commented on GitHub (May 2, 2024):
@thinkverse Thanks! How can I upload multiple .gguf files with different quantization levels?
@thinkverse commented on GitHub (May 2, 2024):
You push a model with a tag just like you'd pull a different model with a tag.
@DuckyBlender commented on GitHub (May 3, 2024):
uh, somethings wrong
@DuckyBlender commented on GitHub (May 3, 2024):
turns out nvidia used a very strange chat template. also, this model is specialized for RAG applications, maybe there should be a feature in ollama which allows easier RAG?
@DuckyBlender commented on GitHub (May 3, 2024):
This is my
ModelfileWhat am I doing wrong?

From NVIDIA's Huggingface repo:

@Arcitec commented on GitHub (May 3, 2024):
@DuckyBlender
Have you tried the RAG support here? https://github.com/open-webui/open-webui
@rickbeeloo commented on GitHub (May 5, 2024):
@DuckyBlender Did you manage to get ChatQA working?
@djdookie commented on GitHub (May 6, 2024):
There seems to be an issue with Llama 3 GGUF conversion. Related? https://github.com/ggerganov/llama.cpp/issues/7062
Also: https://www.reddit.com/r/LocalLLaMA/comments/1ckvx9l/part2_confirmed_possible_bug_llama3_gguf/
@DuckyBlender commented on GitHub (May 6, 2024):
Nope, waiting for more interest on this topic
@sadaisystems commented on GitHub (May 6, 2024):
Support of ChatQA would be really nice, the model seems to be quite useful.
@thinkverse commented on GitHub (May 6, 2024):
Did you catch this discussion? https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B/discussions/5. There seems to be an issue with the
tokanizer_config.jsonand the chat template, maybe that is causing the issue you were having.I'm trying to pull down the weights myself but Git doesn't seem to want to do so.
@DuckyBlender commented on GitHub (May 7, 2024):
Yes, I used the correct chat template (the one I sent above)
You need to do
git lfs installwhen downloading large files using git. If you don't have it you can download it usingsudo apt install git-lfs@thinkverse commented on GitHub (May 7, 2024):
I have LFS installed, I have cloned weight from HF before. 👍
@lazyracket commented on GitHub (May 8, 2024):
Found the available .GGUF files in the LM Studio community: Llama3-ChatQA-1.5-8B-GGUF
I tried to write a
Modelfileto install it in Ollama, and it doesn't run very well, the conversation is always confusing. Maybe I wrote theModelfileincorrectly...However, on LM Studio, after following the step-by-step instructions on the model card to set up the software, there was no problem.
@lazyracket commented on GitHub (May 8, 2024):
I used the
Modelfileyou wrote: the dialogue is basically normal, but there are some problems with the summary text and so on. I'll test it more. Thank you very much.On second thought, maybe I'm getting too hung up on
{context}.@taozhiyuai commented on GitHub (May 9, 2024):
I've tried this template, as you said it is not perfect.
@taozhiyuai commented on GitHub (May 9, 2024):
in LM Studio, what preset do you pick?
@lazyracket commented on GitHub (May 9, 2024):
Download from Llama3-ChatQA-1.5-8B-GGUF and follow its prompts:
Choose the
LM Studio Blank PresetSystem Message Prefix: 'System: 'User Message Prefix: '\n\nUser: 'User Message Suffix: '\n\nAssistant: <|begin_of_text|>'(if you want to provide context)
System Message Suffix: '\n\n{context}'@thinkverse commented on GitHub (May 11, 2024):
The Ollama team released a ChatQA version to the registry a few hours ago - https://ollama.com/library/llama3-chatqa, as part of the 0.1.35 release.
@spflueger commented on GitHub (May 11, 2024):
Hi, I couldn't get this to run nicely. I'm a bit confused how to provide the context? Shouldn't the template look more like
And you would provide the context in the beginning of the prompt according to that official template together with the user query
@lazyracket commented on GitHub (May 11, 2024):
Cool, upgrade Ollama and pull this file, it's working.
Noticed the writing of the
templatepart, and there is noparamspart:@DuckyBlender commented on GitHub (May 11, 2024):
Closing this issue since Ollama v0.1.35 supports ChatQA