Genpark INT8 Symmetric Per-Tensor Quantizer Skill
An open-source MCP server and Python skill for symmetric INT8 per-tensor and per-channel quantization of LLM weights and activations, with reconstruction and i…
What it does
The specific capability behind this listing, and where to get it.
Genpark INT8 Symmetric Per-Tensor Quantizer Skill
An open-source MCP server and Python skill for symmetric INT8 per-tensor and per-channel quantization of LLM weights and activations, with reconstruction and i…
Agentery has not yet captured structured capability detail for this provider.
Official Genpark INT8 Symmetric Per-Tensor Quantizer Skill links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Genpark INT8 Symmetric Per-Tensor Quantizer Skill good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
Genpark INT8 Symmetric Per-Tensor Quantizer Skill's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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": "genpark_int8_quantizer",
"name": "Genpark INT8 Symmetric Per-Tensor Quantizer Skill",
"url": "https://github.com/Alpha-Park/genpark-int8-symmetric-per-tensor-quantizer-skill",
"logo": "https://www.google.com/s2/favicons?domain=github.com&sz=128",
"niche": null,
"category": null,
"short_summary": "An open-source MCP server and Python skill for symmetric INT8 per-tensor and per-channel quantization of LLM weights and activations, with reconstruction and i…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": null,
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/Alpha-Park/genpark-int8-symmetric-per-tensor-quantizer-skill"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/Alpha-Park/genpark-int8-symmetric-per-tensor-quantizer-skill",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": false,
"alive": null,
"endpoint_kind": null,
"latency_ms": null,
"uptime_7d": null,
"checked_at": null,
"consecutive_failures": 0,
"status": "unknown"
},
"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."
}