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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

169 daily snapshots · since May 22
#114▲ 235 places over recorded life
May 22Nov 6

⚓ 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 6,359 (universal rank #114). 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").

SCORE6,359
RANK#114
VIS0
REP0
7D—
◆ Evidence Breakdown
GH
73.72
PKG
33.05
DEP
—
DOC
56
DIS
2.26
ECO
—
◆ Signal SourcesRaw values from primary sources
GitHub Activity73.72GitHub ↗
Package Usage33.05—
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
New development activity
42 d ago
GitHub repository picked up new stars
45 d ago
New development activity
45 d ago
New development activity
49 d ago
GitHub repository picked up new stars
49 d ago
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