Comments (4)
The GPT-4 models are only available if you've made a payment of $1 or more for API usage
To see which models are available for you, see your rate limits (if gpt-4 is in there, then you have access to it) or, see list models
If you don't have access to GPT-4, you can check out mentat/llm_api.py
and make some edits to use 3.5 instead. Keep in mind 3.5 isn't very good at mentat.
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This seems to be false, I waited until a $8 charge was made (which was only made 30 days after starting, not on first of the month [note for anyone else]) and I still do not have access to 32k.
Upon contacting OpenAI, I got this:
Hello,
Thank you for reaching out to OpenAI support.
We understand that you're interested in GPT-4 32k API.
Priority access to the GPT-4 32k API is currently available for customers on an enterprise agreement with OpenAI.
Rest assured that we're in the process of granting access to the 8K and 32K engines at different rates, depending on capacity. As a result, you may receive access to them at separate times. We don't have a specific timeframe for when you'll be granted access, and we appreciate your patience during this ramp-up!
If you're a ChatGPT Plus subscriber, you can access GPT-4 through chat.openai.com and our iOS/Android apps with an hourly usage cap. We'll adjust this limit based on demand and how well the system is performing. Please note that ChatGPT Plus subscription doesn't include API access.
Please let us know if thereโs anything else we can help you with.
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I do however have access to 8k GPT4 from the beginning, but maybe that's because I was on the trial for GPT3.5 way back, but I never actually got charged anything as I had $20 credit in the trial.
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@inventor2525 you don't need GPT-4-32k to use Mentat, you just need GPT-4-0314 (it's regular 8k context GPT-4, but the version that was released in March)
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Related Issues (20)
- Git Diff problem caused by Sampler when using a Virtual environment HOT 4
- Replace colored with style HOT 1
- How is this project different from aider? HOT 1
- Textual improvements HOT 11
- save/load context HOT 3
- Bug when exiting search command: loading bar gets stuck, doesn't print anything
- Mentat Python SDK doesn't return anything when working on bigger projects
- Optimization of non-GPT 4 major model outputs HOT 1
- maximum context should be reset when /config is used to change model
- in powerpoint online
- "Provider is required when unknown models are used" but no way to set provider for gpt-4-turbo. HOT 5
- Benchmark on SWE-Bench HOT 1
- Release 1.0.18
- Starting mentat failed
- error on running command mentat HOT 1
- Mentat python client throws `mentat.errors.MentatError: Session failed`
- Opendevin collaboration
- Using claude 3.5 sonnet HOT 5
- [Suggestion] Using Exponential Backoff to avoid LLM Rate Limit Errors
- "Provider is required when unknown models are used" even when I set model in ".mentat_config.json" HOT 1
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