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v0.2.4
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Added
Hardware-Optimized Profiles for GPT-OSS Models : New built-in profiles optimized for different GPU architectures
gpt_oss_ampere: Optimized for NVIDIA A100 GPUs
gpt_oss_hopper: Optimized for NVIDIA H100/H200 GPUs
gpt_oss_blackwell: Optimized for NVIDIA Blackwell (B100/B200) GPUs
Based on official vLLM GPT recipes
Shortcuts System : Save and quickly launch model + profile combinations
Quick launch from CLI: vllm-cli serve --shortcut NAME
Manage shortcuts through interactive mode or CLI commands
Import/export shortcuts for sharing configurations
Ollama Model Support : Full integration with Ollama-downloaded models
Automatic discovery in user (~/.ollama) and system (/usr/share/ollama) directories
GGUF format detection and experimental serving support
Environment Variable Management : Two-tier system for complete control
Universal environment variables for all servers
Profile-specific environment variables (override universal)
Clear indication of environment sources when launching
GPU Selection : Select specific GPUs for model serving
CLI: --device 0,1 to use specific GPUs
Interactive UI for GPU selection in advanced settings
Automatic tensor_parallel_size adjustment
Enhanced System Information : vLLM built-in feature detection
Detailed attention backend availability (Flash Attention 2/3, xFormers)
Feature compatibility checking per backend
Server Cleanup Control : Configure server behavior on CLI exit
Extended vLLM Arguments : Added 16+ new arguments for v1 engine
Performance, optimization, API, configuration, and monitoring options
Changed
Enhanced Quick Serve menu shows last configuration and saved shortcuts
Model field excluded from profiles for model-agnostic templates
Model cache refresh properly respects TTL settings (>60s)
Environment variables available in Custom Configuration menu
Fixed
Fixed manual cache refresh functionality
Fixed profile creation inconsistency between menus
Fixed UI consistency issues with prompt formatting
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