vllm-project/llm-compressor
Oct 2025 – Feb 2026
2 Months active
Languages Used
MarkdownPythonYAML
Technical Skills
DocumentationMachine LearningQuantization
Cassie Jeon
PROFILE
Cassie Jeon
Contributed to the vllm-project/llm-compressor repository by developing two key features over a two-month period. First, created a comprehensive FAQ page in Markdown to improve documentation, addressing user questions on model speed, quantization, memory requirements, and multi-GPU support, and linking to both internal guides and external resources. Later, implemented an initial FP8 quantization approach in Python and YAML for Llama4, Qwen3, Kimi K2, and Mistral models, establishing a unified path for future optimization and benchmarking. Demonstrated strengths in technical writing, machine learning, and quantization, with clear commit messages and a focus on reviewer engagement and onboarding.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
373
Activity Months2
Your Network
3111 peopleShared Repositories
66
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly work summary for vllm-project/llm-compressor focusing on FP8 quantization across multiple models under INFERENG-2666. Delivered a first draft of FP8 quantization for Llama4, Qwen3, Kimi K2, and Mistral, captured in a dedicated commit with scope, testing notes (to be verified), and reviewer questions. Established groundwork for cross-model quantization, documentation, and examples ready for review.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly work summary for vllm-project/llm-compressor focusing on FP8 quantization across multiple models under INFERENG-2666. Delivered a first draft of FP8 quantization for Llama4, Qwen3, Kimi K2, and Mistral, captured in a dedicated commit with scope, testing notes (to be verified), and reviewer questions. Established groundwork for cross-model quantization, documentation, and examples ready for review.
February 2026
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a new FAQ page for the LLM Compressor documentation to address common questions on speed, quantization, memory requirements, and multi-GPU support, with links to guides and external resources. Implemented in vllm-project/llm-compressor with commit 5061adf2e51ddb7724f1dbaadd1aa16611e99961 (Created FAQ page first draft (#1896)). This enhances self-service support, accelerates onboarding, and provides a solid foundation for future documentation improvements. Demonstrated strong documentation discipline, user-centric writing, and the ability to link technical content to practical workflows.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a new FAQ page for the LLM Compressor documentation to address common questions on speed, quantization, memory requirements, and multi-GPU support, with links to guides and external resources. Implemented in vllm-project/llm-compressor with commit 5061adf2e51ddb7724f1dbaadd1aa16611e99961 (Created FAQ page first draft (#1896)). This enhances self-service support, accelerates onboarding, and provides a solid foundation for future documentation improvements. Demonstrated strong documentation discipline, user-centric writing, and the ability to link technical content to practical workflows.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
DocumentationMachine LearningQuantization
Repositories Contributed To
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