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gaiaftcl-sudo/affine.earth.public

Before you install: no copy-paste command · license NOASSERTION · link reachable

First step: nothing runnable here yet - start from the repository: https://github.com/gaiaftcl-sudo/affine.earth.public

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Star count
0 ★ · gaiaftcl-sudo/affine.earth.public · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-11-10 · last seen 2026-11-14 · seen 5× · listed by 1 sources
Score
score 100 · 1 sources · repo
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Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository gaiaftcl-sudo/affine.earth.public;first catalogued 2026-11-10;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

license: mit

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

library_name: openai-compatible
pipeline_tag: text-generation
datasets:
rpg67/Affine.Earth-Benchmarks
tags:
affine-earth
affine-uum8d-s4
vqbit
zero-float
zero-ml
formal-verification
metamath
mcp
mcp-server
swe-bench
gaia
bfcl
terminal-bench
arc-agi
livebench
bigcodebench
aider-polyglot
frontier-physics
all-souls
tokenized-equity-audit
swift-6-4
model-index:
name: Affine.Earth
results:
task:
type: function-calling
name: "Berkeley Function Calling Leaderboard V4 (BFCL V4)"
dataset:
name: "BFCL V4"
type: gorilla-llm/BFCL-v4
metrics:
type: ast_accuracy
value: 100.0
name: "AST & Live MCP Accuracy (%)"
type: rerun_flip_rate
value: 0.0
name: "Pass^8 Rerun Flip Variance (%)"
source:
name: "Affine.Earth Sovereign 4-Point HAC Audit & Public Proof Bundle (2,000 / 2,000 (100.0%))"
url: "https://huggingface.co/datasets/rpg67/Affine.Earth-Benchmarks/blob/main/submissions/bfcl_v4/results.json"
task:
type: software-engineering
name: "SWE-bench Verified (500 Instances · 3-Step vQbit Trajectory)"
dataset:
name: "SWE-bench Verified"
type: princeton-nlp/SWE-bench_Verified
metrics:
type: resolved_rate
value: 100.0
name: "Resolved Rate (%) [trajs/ + logs/ Verified]"
type: rerun_flip_rate
value: 0.0
name: "Pass^8 Rerun Flip Variance (%)"
source:
name: "Affine.Earth Sovereign 4-Point HAC Audit & Public Proof Bundle (500 / 500 (100.0%))"
url: "https://huggingface.co/datasets/rpg67/Affine.Earth-Benchmarks/blob/main/submissions/swebench_verified/results.json"
task:
type: agentic-execution
name: "Terminal-Bench 2.0 & 4.0 (Harbor Harness · 89 Tasks)"
dataset:
name: "Terminal-Bench 2.0 & 4.0"
type: vals-ai/terminal-bench
metrics:
type: pass_at_8
value: 100.0
name: "Pass^8 Deterministic Closure (%)"
type: rerun_flip_rate
value: 0.0
name: "Pass^8 Rerun Flip Variance (%)"
source:
name: "Affine.Earth Sovereign 4-Point HAC Audit & Public Proof Bundle (89 / 89 (100.0%))"
url: "https://huggingface.co/datasets/rpg67/Affine.Earth-Benchmarks/blob/main/submissions/terminal_bench_2/results.json"
task:
type: tool-use
name: "Salesforce MCP-Universe & Scale MCP-Atlas (28 Tools · 85% Pruned)"
dataset:
name: "MCP-Universe"
type: SalesforceAIResearch/MCP-Universe
metrics:
type: tool_closure_rate
value: 100.0
name: "JSON-RPC 2.0 Streamable-HTTP MCP Closure (%)"
type: rerun_flip_rate
value: 0.0
name: "Pass^8 Rerun Flip Variance (%)"
source:
name: "Affine.Earth Sovereign 4-Point HAC Audit & Public Proof Bundle (480 / 480 (100.0%))"
url: "https://huggingface.co/datasets/rpg67/Affine.Earth-Benchmarks/blob/main/submissions/mcp_universe/results.json"
task:
type: abstract-reasoning
name: "ARC-AGI-2 / ARC-AGI-3 & Multimodal Visual-Search Verification"
dataset:
name: "ARC-AGI-3"
type: arcprize/arc-agi-benchmarking
metrics:
type: exact_grid_closure
value: 100.0
name: "Dihedral D4 & Morton S4 Grid Invariance (%)"
type: rerun_flip_rate
value: 0.0
name: "Pass^8 Rerun Flip Variance (%)"
source:
name: "Affine.Earth Sovereign 4-Point HAC Audit & Public Proof Bundle (400 / 400 (100.0%))"
url: "https://huggingface.co/datasets/rpg67/Affine.Earth-Benchmarks/blob/main/submissions/arc_agi_3_community/results.json"
task:
type: autonomous-agent
name: "GAIA Benchmark (Level 1, 2 & 3 Autonomous Agent)"
dataset:
name: "GAIA"
type: gaia-benchmark/GAIA
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Source
github · https://github.com/gaiaftcl-sudo/affine.earth.public
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