Config: single dp4-nothink.yaml with all 28 bench configs (evalscope-style)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
sora 2026-09-11 08:02:43 +00:00
parent c27a22555d
commit d16009d054
29 changed files with 119 additions and 267 deletions

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# dp4-nothink: DeepSeek-V4-Flash nothinking protocol
# Usage: evalharness eval run <bench> --config dp4-nothink --api-url ... --model ...
# Priority: DatasetSpec.gen_config < default < <bench> < CLI args
default:
generation: {temperature: 0.0, max_tokens: 32768, top_p: 1.0, stream: true}
run: {concurrency: 8, checkpoint: true, resume: true}
# ── Math (temp=1, 12 runs averaged) ──
aime24:
generation: {temperature: 1.0, max_tokens: 8192, top_p: 1.0}
run: {repeats: 12, concurrency: 4}
aime25:
generation: {temperature: 1.0, max_tokens: 8192, top_p: 1.0}
run: {repeats: 12, concurrency: 4}
aime26:
generation: {temperature: 1.0, max_tokens: 8192, top_p: 1.0}
run: {repeats: 12, concurrency: 4}
hmmt26:
generation: {temperature: 1.0, max_tokens: 8192, top_p: 1.0}
run: {repeats: 12, concurrency: 4}
competition_math:
generation: {temperature: 0.0, max_tokens: 32768, top_p: 1.0}
run: {limit_per_task: 40, concurrency: 8}
gsm8k:
generation: {temperature: 0.0, max_tokens: 32768, top_p: 1.0}
run: {limit: 200, concurrency: 8}
# ── Knowledge / MCQ ──
mmlu:
run: {limit_per_task: 4, concurrency: 8}
cmmlu:
run: {limit_per_task: 3, concurrency: 8}
mmlu_pro:
run: {limit_per_task: 20, concurrency: 8}
arc:
run: {limit: 200, concurrency: 8}
hellaswag:
run: {limit: 400, concurrency: 8}
winogrande:
run: {limit: 200, concurrency: 8}
bbh:
generation: {temperature: 0.0, max_tokens: 32768, top_p: 1.0}
run: {limit_per_task: 10, concurrency: 8}
gpqa_diamond:
generation: {temperature: 1.0, max_tokens: 8192, top_p: 1.0}
run: {limit: 200, concurrency: 8}
# ── QA ──
simple_qa:
generation: {temperature: 0.0, max_tokens: 1024, top_p: 1.0}
run: {limit: 200, concurrency: 8}
trivia_qa:
run: {limit: 200, concurrency: 8}
drop:
run: {limit: 200, concurrency: 8}
# ── Judged ──
hle:
generation: {temperature: 0.0, max_tokens: 32768, top_p: 1.0}
run: {limit_per_task: 25, concurrency: 8}
judge: {model: dp4-flash, api_url: 'http://174.1.51.4:30000/v1'}
imo_answerbench:
generation: {temperature: 1.0, max_tokens: 8192, top_p: 1.0}
run: {limit_per_task: 25, concurrency: 8}
judge: {model: dp4-flash, api_url: 'http://174.1.51.4:30000/v1'}
# ── Code (docker sandbox) ──
humaneval:
generation: {temperature: 1.0, max_tokens: 32768, top_p: 1.0}
run: {concurrency: 4}
bigcodebench:
generation: {temperature: 0.0, max_tokens: 32768, top_p: 1.0}
run: {limit: 200, concurrency: 4}
live_code_bench:
generation: {temperature: 1.0, max_tokens: 32768, top_p: 1.0}
run: {limit: 200, concurrency: 4}
# ── Long context ──
longbench_v2:
generation: {temperature: 0.0, max_tokens: 8192, top_p: 1.0}
run: {limit_per_task: 66, concurrency: 4, max_input_tokens: 120000}
openai_mrcr:
generation: {temperature: 0.0, max_tokens: 8192, top_p: 1.0}
run: {limit: 200, concurrency: 4, max_input_tokens: 120000}
# ── Agent / tools ──
bfcl_v3:
generation: {temperature: 0.0, max_tokens: 4096, top_p: 1.0, parallel_tool_calls: true}
run: {limit_per_task: 20, concurrency: 8, env: bfcl_mock}
general_fc:
generation: {temperature: 0.0, max_tokens: 4096, top_p: 1.0}
run: {limit: 400, concurrency: 8}
tau2_bench:
generation: {temperature: 0.0, max_tokens: 16384, top_p: 1.0}
run: {concurrency: 8, env: tau2_official, max_turns: 50}
swe_bench_verified:
run: {limit: 70, concurrency: 4}

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# aime24: AIME/HMMT -- temp=1 sampling, 12 runs averaged
generation:
temperature: 1.0
max_tokens: 8192
top_p: 1.0
run:
repeats: 12
limit: null # full dataset (30 problems)
concurrency: 4

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# aime25: AIME/HMMT -- temp=1 sampling, 12 runs averaged
generation:
temperature: 1.0
max_tokens: 8192
top_p: 1.0
run:
repeats: 12
limit: null # full dataset (30 problems)
concurrency: 4

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# aime26: AIME/HMMT -- temp=1 sampling, 12 runs averaged
generation:
temperature: 1.0
max_tokens: 8192
top_p: 1.0
run:
repeats: 12
limit: null # full dataset (30 problems)
concurrency: 4

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# arc: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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# bbh: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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generation:
temperature: 0.0
max_tokens: 4096
top_p: 1.0
parallel_tool_calls: true
run:
limit_per_task: 20
concurrency: 8
env: bfcl_mock
extra:
is_fc_model: true
underscore_to_dot: true

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# bigcodebench: code generation (docker sandbox)
generation:
temperature: 1.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 4

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# cmmlu: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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# dp4-nothink: DeepSeek-V4-Flash nothinking protocol
# All benches inherit these unless overridden in their own <bench>.yaml
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
stream: true
run:
concurrency: 8
checkpoint: true
resume: true

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# drop: short-answer QA
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 8

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generation:
temperature: 0.0
max_tokens: 4096
top_p: 1.0
run:
limit: 400
concurrency: 8

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# gpqa_diamond: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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# gsm8k: short-answer QA
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 8

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# hellaswag: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 25
concurrency: 8
judge:
model: dp4-flash
api_url: http://174.1.51.4:30000/v1

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# hmmt26: AIME/HMMT -- temp=1 sampling, 12 runs averaged
generation:
temperature: 1.0
max_tokens: 8192
top_p: 1.0
run:
repeats: 12
limit: null # full dataset (30 problems)
concurrency: 4

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# humaneval: code generation (docker sandbox)
generation:
temperature: 1.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 4

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generation:
temperature: 1.0
max_tokens: 8192
top_p: 1.0
run:
limit_per_task: 25
concurrency: 8
judge:
model: dp4-flash
api_url: http://174.1.51.4:30000/v1

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# live_code_bench: code generation (docker sandbox)
generation:
temperature: 1.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 4

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generation:
temperature: 0.0
max_tokens: 8192
top_p: 1.0
run:
limit_per_task: 66
concurrency: 4
max_input_tokens: 120000

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# mmlu: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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# mmlu_pro: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8

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generation:
temperature: 0.0
max_tokens: 8192
top_p: 1.0
run:
limit: 200
concurrency: 4
max_input_tokens: 120000

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# simple_qa: short-answer QA
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 8

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generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit: 70
concurrency: 4

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generation:
temperature: 0.0
max_tokens: 16384
top_p: 1.0
run:
concurrency: 8
env: tau2_official
max_turns: 50

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# trivia_qa: short-answer QA
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit: 200
concurrency: 8

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# winogrande: knowledge/MCQ benchmark
generation:
temperature: 0.0
max_tokens: 32768
top_p: 1.0
run:
limit_per_task: 10
concurrency: 8