A
licenseA
qualityD
maintenanceEstimates Claude API token counts, per-model cost, and prompt-caching break-even without an API key or network.
5
MIT
genpark-quantized-model-vram-tensor-parallel-estimator-skill
Officialby alphaparkinc
Related Servers
Alternatives to genpark-quantized-model-vram-tensor-parallel-estimator-skill
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables MCP clients to scan local GGUF models, estimate VRAM and suggest GPU offload layers, manage llama-server lifecycle, and proxy OpenAI-format chats with idle auto-unload.9MIT
- AlicenseAqualityAmaintenanceLLM deployment planner: given a model and a GPU, answers will it fit, will it hit your SLO, and what will it cost. Sizes VRAM and KV-cache from the model's real architecture, and labels every number measured, estimated, or unknown.5277 PyPI2MIT
- AlicenseAqualityAmaintenanceEnables engineers to estimate LLM costs, check GPU VRAM fit, audit MCP configs for security risks, and analyze network device config changes and compliance—all locally, with no account or telemetry.7MIT
- AlicenseAqualityCmaintenanceMCP server for LLM quantization. Compress any HuggingFace model to GGUF, GPTQ, or AWQ format. 6 tools: info, check, recommend, quantize, evaluate, push. Self-contained Python server — no external CLI needed.64MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents and developers to dynamically tokenize session context windows and compact dialogue history into structured outputs via MCP, CLI, or Python client. Runs on pure standard library Python with no external dependencies for deterministic, low-latency execution.8-
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues