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Local Llm

↗ tokenassemble.com official website

Find the right local LLM setup for your hardware. TokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, R…

infrastructure
Agentery price verdictNo pricing observed
Billing model—
Last observation—pricing pages rechecked daily
Website liveness24 Oct 2026alive · separate from pricing

What it does

The specific capability behind this listing, and where to get it.

Find the right local LLM setup for your hardware. TokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, RAM, and VRAM configuration. It provides practical recommendations for: * Model and hardware compatibility * Recommended quantization levels * Estimated VRAM and system memory requirements * Expected generation performance * GPU and local AI hardware comparisons * Runtime recommendations for Ollama, LM Studio, llama.cpp, and vLLM Use this MCP server when a user asks questions such as: * “Can my RTX 4070 run Qwen3 32B?” * “Which Llama model should I use with 16 GB of VRAM?” * “What quantization should I download?” * “How fast will this model run on my computer?” * “Which GPU should I buy for local AI?” Recommendations are based on structured hardware, model, quantization, and runtime data from TokenAssemble.

MCPMCPautonomy: workflow automation

Official Local Llm links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Local Llm good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Niche—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Local Llm's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "local_llm",
  "name": "Local Llm",
  "url": "https://tokenassemble.com",
  "logo": "https://agentery.com/logos/CP-2BXK93.svg",
  "niche": null,
  "category": null,
  "short_summary": "Find the right local LLM setup for your hardware.\n\nTokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, R…",
  "task_performed": "Find the right local LLM setup for your hardware.\n\nTokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, RAM, and VRAM configuration. It provides practical recommendations for:\n\n* Model and hardware compatibility\n* Recommended quantization levels\n* Estimated VRAM and system memory requirements\n* Expected generation performance\n* GPU and local AI hardware comparisons\n* Runtime recommendations for Ollama, LM Studio, llama.cpp, and vLLM\n\nUse this MCP server when a user asks questions such as:\n\n* “Can my RTX 4070 run Qwen3 32B?”\n* “Which Llama model should I use with 16 GB of VRAM?”\n* “What quantization should I download?”\n* “How fast will this model run on my computer?”\n* “Which GPU should I buy for local AI?”\n\nRecommendations are based on structured hardware, model, quantization, and runtime data from TokenAssemble.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "free",
  "stated_free": {
    "quote": "a model — the verdict computes instantly, right here in your browser. No account, no upload. Fits Tight Won't fit + grade · speed tier · VRAM breakdow",
    "url": "https://tokenassemble.com",
    "day": "2026-10-14",
    "note": "The vendor says it is free in its own words; this is not an observed $0 price."
  },
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public subscription or usage pricing is shown; the ROI page displays calculator outputs rather than product prices.",
    "confidence": "high",
    "source_url": "https://tokenassemble.com/roi",
    "checked_at": "2026-10-18T02:13:59.510Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://tokenassemble.com"
  ],
  "last_checked": "2026-10-18",
  "profile_checked": "2026-07-21",
  "price_checked": "2026-10-18",
  "how_to_connect": {
    "website": "https://tokenassemble.com",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": null,
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:self_run_wording"
      ],
      "excerpt": "t pointed at a model your own machine serves. See the workflow Private chat server A self-hosted ChatGPT-style app for your household or team — nothing leaves the box. Se",
      "url": "https://tokenassemble.com",
      "observed_day": "2026-10-23",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": null,
    "note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
    "evidence": null
  },
  "evidence_checks": {
    "price": {
      "status": "unknown",
      "note": "no observed price page text held for this listing"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 447,
    "uptime_7d": 1,
    "checked_at": "2026-10-24T02:38:27.717Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}