llm-compressor
State-of-the-art LLM compression, built for production inference with vLLM
A new way for AI to search for data
3,910GitHub stars
What XERJ indexed
Selected work
“Refactor basic calibration to use the sequential pipeline”. 4 files, 263 lines in tests, src/llmcompressor.
Licence
The repository
Apache-2.0
Checked by a person at the pinned commit.
The XERJ corpus
Apache-2.0, with credit
The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
compressionquantization
Example questions
- How does llm-compressor implement compression?
- Where does llm-compressor handle “Refactor basic calibration to use the sequential pipeline”?
- What does src/llmcompressor do in llm-compressor?
The prompt
Paste it into your AI agent. It clones vllm-project/llm-compressor at the pinned commit and indexes it on your machine.
Search the GitHub repository vllm-project/llm-compressor with XERJ (https://hub.xerj.org/corpus/vllm-project--llm-compressor). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/vllm-project/llm-compressor llm-compressor && git -C llm-compressor checkout 269a4518241db8af3fd4e19c717abf713a176a72 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./llm-compressor --url http://127.0.0.1:9200 --prefix llm-compressor --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: Apache-2.0. Keep the copyright notice and credit the authors.
Related
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Selected work and consent: the XERJ registry.