Comments (3)
My notes so far: https://simonwillison.net/2024/May/13/gpt-4o/
Model IDs are gpt-4o
and gpt-4o-2024-05-13
.
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Got this working:
diff --git a/llm/default_plugins/openai_models.py b/llm/default_plugins/openai_models.py
index 88958e9..817919a 100644
--- a/llm/default_plugins/openai_models.py
+++ b/llm/default_plugins/openai_models.py
@@ -31,6 +31,8 @@ def register_models(register):
register(Chat("gpt-4-1106-preview"))
register(Chat("gpt-4-0125-preview"))
register(Chat("gpt-4-turbo-preview"), aliases=("gpt-4-turbo", "4-turbo", "4t"))
+ # GPT-4o
+ register(Chat("gpt-4o"), aliases=("4o",))
# The -instruct completion model
register(
Completion("gpt-3.5-turbo-instruct", default_max_tokens=256),
from llm.
I should update the docs on https://llm.datasette.io/en/latest/openai-models.html to recommend the new model in place of GPT-4 Turbo.
from llm.
Related Issues (20)
- Asynchronous API support HOT 1
- Add API documentation on how to import and use this tool as a Python library HOT 1
- Fix for latest mypy
- Rename the gpt-4-turbo aliases HOT 1
- All I ever get is "insufficient_quota" HOT 5
- llm 0.14: Can't run <<llm chat>> on Windows 11 HOT 2
- llm keys set openai
- Would you be up for a PR that shows help on no options?
- Please add NVIDA cloud API
- Hang on 429 response from OpenAI
- Better handling for empty extra-openai-models.yaml file
- how to pass messages list to model.prompt()
- asyncio support
- "Error: Connection error." following Github readme.md
- Log token performance stats
- Plugin for HF serverless inference
- Autocomplete online cli
- Limit max tokens in response
- Parsing JSON in reponses
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