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Browse and compare 190+ open-weight LLMs with VRAM and cost estimates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.MGM-FALCON/quelllm-mcp" yet — see the docs or source repo.
List open-weight LLMs suitable for general chat, compare their estimated cost and VRAM requirements, and give a brief recommendation.
A shortlist of candidate models with estimated cost, VRAM needs, and a brief comparison.
I have limited VRAM. Find open-weight LLMs with lower VRAM requirements and list comparable alternatives.
A list of models that fit the VRAM constraint, along with comparison details.
Show which open-weight LLMs are available in the catalog and organize them into an easy-to-read list by category or characteristics.
An organized catalog view for quick browsing and initial filtering.
Developers or researchers preparing to run LLMs locally can browse the open-weight catalog and compare VRAM and cost estimates to narrow down candidates.
Product managers or technical teams can use it to list and compare multiple LLM options, quickly creating an initial shortlist.
This is an MCP server for quelllm.fr. It lets you browse a catalog of 190+ open-weight LLMs and compare them with VRAM and cost estimates.
Based on the provided description, it supports model listing, comparison, and VRAM and cost estimates. For specific fields or filtering options, see the source repository.
No documentation excerpt was provided, so installation steps, runtime requirements, and whether credentials are needed cannot be confirmed. See the source repository for details.
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