/help problems

[traits]

Issue

After figuring out, how to get aiders internal help (/help) working with my pipx installation of it (seems to require a complete pytorch cpu package), I did ask the following while in a session:

/help what models are available? Give the exact names.

(I was unable to find a complete list of these names in the documentation for using one such name in for example .env's AIDER_EDITOR_MODEL)

It began to answer as follows.

modules.json: 100%|███████████████████████████████████████████████████████████████████████████| 349/349 [00:00<?, ?B/s]
C:\Users\micha\pipx\venvs\aider-chat\Lib\site-packages\huggingface_hub\file_download.py:139: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\micha\AppData\Local\llama_index\models--BAAI--bge-small-en-v1.5. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
  warnings.warn(message)
config_sentence_transformers.json: 100%|██████████████████████████████████████████████████████| 124/124 [00:00<?, ?B/s]
README.md: 100%|███████████████████████████████████████████████████████████████████| 94.8k/94.8k [00:00<00:00, 795kB/s]
sentence_bert_config.json: 100%|████████████████████████████████████████████████████████████| 52.0/52.0 [00:00<?, ?B/s]
config.json: 100%|████████████████████████████████████████████████████████████████████████████| 743/743 [00:00<?, ?B/s]
model.safetensors: 100%|████████████████████████████████████████████████████████████| 133M/133M [00:04<00:00, 30.8MB/s]
tokenizer_config.json: 100%|██████████████████████████████████████████████████████████████████| 366/366 [00:00<?, ?B/s]
vocab.txt: 100%|████████████████████████████████████████████████████████████████████| 232k/232k [00:00<00:00, 2.14MB/s]
tokenizer.json: 100%|███████████████████████████████████████████████████████████████| 711k/711k [00:00<00:00, 1.74MB/s]
special_tokens_map.json: 100%|████████████████████████████████████████████████████████████████| 125/125 [00:00<?, ?B/s]
1_Pooling/config.json: 100%|██████████████████████████████████████████████████████████████████| 190/190 [00:00<?, ?B/s]
Generating embeddings:  14%|████████                                                  | 60/430 [00:17<01:53,  3.27it/s]

^C again to exit
Generating embeddings:  16%|█████████▎                                                | 69/430 [00:19<01:39,  3.63it/s]
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

This was not the intention of course. So, what are these model names? And what is the helper AI attempting to do here?

Version and model info

Aider v0.64.1