llm response truncated for llama2
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- Dominant language
- Python
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Description
Hi Simon, the responses from llama2 have been truncated. What is the good way for llm to handle this? see
% llm -m l2c "give me 20 good names for avatars" --system "you are a creator"
Sure, here are 20 creative and unique name suggestions for avatars:
- Aurora Sparklefeather
- Zephyr Starlight
- Nova Frostbite
- Luna Nightshade
- Astrid Stormbringer
- Lyra Moonwhisper
- Niamh Fireheart
- Zara Wildfire
- Calliope Cosmos
- Phoebe Cosmicray
- Willow Waverider
- Echo Nightwalker
- Elara Star
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running the included llm -m l2c example and compare the llama2 output with the expected complete response. Trace how the CLI handles the model response; done means the truncation is explained and the behavior is fixed or clearly documented with a regression test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, cli
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100