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Originally created by @aniketmaurya on GitHub (Feb 21, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/2650
@aaronnewsome commented on GitHub (Feb 21, 2024):
Same here. Updated to latest ollama/ollama:0.1.26 and 2B seems to work nicely, but all I get is gibberish and nonsense from gemma:7B
@automaton82 commented on GitHub (Feb 21, 2024):
I think the prompt template might be incorrect, at least from what I see here:
https://huggingface.co/google/gemma-7b-it/discussions/18
@lestan commented on GitHub (Feb 22, 2024):
Same here. Tried the 2b, 7b and 7b-instruct-fp16 variants and they're all garbage. Outputs wrong answers, jibberish, screws up SQL code (mixed with nonsense words), doesn't answer basic questions, etc. Seems very odd given a lot of what I've read shows that people are impressed with Gemma so far.
@svilupp commented on GitHub (Feb 22, 2024):
Same here. I ran my benchmark suite (Julia language code gen) and the results are impossibly bad. It's the same type of problem as Qwen1.5
@robert-mcdermott commented on GitHub (Feb 22, 2024):
gemma:7b
@yfzhou0904 commented on GitHub (Feb 22, 2024):
and it eventually goes in an infinite loop
@nikleonard commented on GitHub (Feb 22, 2024):
Maybe is a quantization issue.
(Update) In the llama.cpp github page there is an ongoing discussion about the problems with the new architecture and quantization of the Gemma model. https://github.com/ggerganov/llama.cpp/issues/5635. There is also a PR related to that: https://github.com/ggerganov/llama.cpp/pull/5650
I have tested gemma:7b-instruct-q4_K_M and it generates less garbage, and q8_K_0 gives me even better output (but I can't run it on my laptop, only in my desktop). It still generates a lot of white-space in between, but the rendered markup looks good. As of this date, TheBloke has not quantized Gemma and I don't know where Ollama is getting the "7B" quantizations.
-- Output of q8_K_0. Is still bad, but is not that bad. FP16 is even worst. I can't run FP32 in my local hardware, and is not available in ollama.
tell me about Google's history. go to as much detail as you can.
Google, formerly known simply by its domain name google (originally googli), was born in the fertile soil of a
Silicon Valley dorm room back in 1987 with an ambitious mission: "to organize and make accessible vast amounts
information."
Humble Beginnings:
search engine called Backrub in the late '0s that prioritized relevance over sheer volume of data like other
engines did back then .
an office in Palo Alto ,California where the company officially incorporated as Page & Brin Inc., with $10 million
investment from Sequoia Capital and Business Angels like Esther Dyson
Rapid Growth:
servers and later opened it up for public use in 194 beta versions and a few months after that publicly launched
their search engine
the computer screen.
of distributing content through their respective platforms
the scope for international users
The Rise To Prominence:
globally
Challenges & Controversies:
collected vast amount of user data. Some users feared this intrusive nature
manipulating search results
Recent Developments.:
artificial general Intelligence and machine learning. It has been involved in development projects ranging from
medical diagnostics to self driving cars
constantly innovating within various fields
Conclusion:
From humble beginnings, through rapid growth ,challenges & controversies google stands today as one of the most
powerful companies globally with its impact being felt in every facet our daily lives. With innovative technology
at heart Google continues to shape future trends and reshape industries worldwide
@mxyng commented on GitHub (Feb 23, 2024):
This should be fixed with a model update. If anyone is still experiencing issues, please first pull from the library
@rb81 commented on GitHub (Apr 17, 2024):
Gemma 7b is still throwing up garbage. 2b works fine.