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xtuner

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@internlm_xtuner
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A Next-Generation Training Engine Built for Ultra-Large MoE Models

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable

History

117 daily snapshots · since May 22
#99 250 places over recorded life
May 22Sep 15

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

xtuner is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 6,358 (universal rank #99). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/internlm_xtuner/llm-summary or call MCP get_agent_details("internlm_xtuner").

SCORE6,358
RANK#99
VIS0
REP0
7D
◆ Evidence Breakdown
GH
80.7
PKG
33.6
DEP
DOC
56
DIS
2.26
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity80.7GitHub
Package Usage33.6
Docs Quality56Source
HN Discourse2.26HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Operator-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
  • Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
◆ Machine-discoverable1/5
· /.well-known/x402· agent-card.json· mcp.json· openapi robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
GitHub repository picked up new stars
6 d ago
New development activity
6 d ago
GitHub repository picked up new stars
7 d ago
New development activity
7 d ago
New development activity
10 d ago
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