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opentq-qwen36-bf16-sidecar

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opentq
qwen3.6
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bf16
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run_id
stringclasses
4 values
mode
stringclasses
2 values
benchmark_id
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3
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18
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int64
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pass_rate
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1
sample_count
int64
1
24
result_count
int64
1
24
69f224b7d70108f37ace173a
no_think
mmlu_pro
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu_pro", "config": "default", "dataset": "TIGER-Lab/MMLU-Pro", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "54611cde22c74cca43dd78732198de6abe971398", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offse...
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69f224b7d70108f37ace173a
no_think
gpqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "gpqa", "config": "default", "dataset": "hendrydong/gpqa_diamond_mc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "284143babc24a94fbac45d143333b2307e64ff80", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "o...
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69f224b7d70108f37ace173a
no_think
aime
{"backend": "embedded_dataset_viewer", "benchmark_id": "aime", "config": "default", "dataset": "MathArena/aime_2026", "max_tokens": 4096, "prompt_format": "qwen3-no-think", "revision": "10b4e45b7a503075d4da8a0d57916a4f06ce6bd2", "scoring_rule": "numeric_exact", "split": "train", "task_ids": ["offset:0", "offset:1", "of...
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thinking
mmlu_pro
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu_pro", "config": "default", "dataset": "TIGER-Lab/MMLU-Pro", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "54611cde22c74cca43dd78732198de6abe971398", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offse...
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69f224b7d70108f37ace173a
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gpqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "gpqa", "config": "default", "dataset": "hendrydong/gpqa_diamond_mc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "284143babc24a94fbac45d143333b2307e64ff80", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "o...
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aime
{"backend": "embedded_dataset_viewer", "benchmark_id": "aime", "config": "default", "dataset": "MathArena/aime_2026", "max_tokens": 4096, "prompt_format": "qwen3-no-think", "revision": "10b4e45b7a503075d4da8a0d57916a4f06ce6bd2", "scoring_rule": "numeric_exact", "split": "train", "task_ids": ["offset:0", "offset:1", "of...
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69f22742d70108f37ace1742
no_think
mmlu_pro
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu_pro", "config": "default", "dataset": "TIGER-Lab/MMLU-Pro", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "54611cde22c74cca43dd78732198de6abe971398", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offse...
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gpqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "gpqa", "config": "default", "dataset": "hendrydong/gpqa_diamond_mc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "284143babc24a94fbac45d143333b2307e64ff80", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "o...
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mmlu
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu", "config": "all", "dataset": "cais/mmlu", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "c30699e8356da336a370243923dbaf21066bb9fe", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offset:936", "offset:1...
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69f22ef7d70108f37ace1773
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mmlu_pro
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu_pro", "config": "default", "dataset": "TIGER-Lab/MMLU-Pro", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "54611cde22c74cca43dd78732198de6abe971398", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offse...
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arc
{"backend": "embedded_dataset_viewer", "benchmark_id": "arc", "config": "ARC-Challenge", "dataset": "allenai/ai2_arc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "210d026faf9955653af8916fad021475a3f00453", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset:0", "o...
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69f22ef7d70108f37ace1773
no_think
hellaswag
{"backend": "embedded_dataset_viewer", "benchmark_id": "hellaswag", "config": "default", "dataset": "Rowan/hellaswag", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "218ec52e09a7e7462a5400043bb9a69a41d06b76", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset:0", "o...
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no_think
gsm8k
{"backend": "embedded_dataset_viewer", "benchmark_id": "gsm8k", "config": "main", "dataset": "openai/gsm8k", "max_tokens": 1024, "prompt_format": "qwen3-no-think", "revision": "740312add88f781978c0658806c59bc2815b9866", "scoring_rule": "numeric_exact", "split": "test", "task_ids": ["offset:0", "offset:88", "offset:176"...
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math
{"backend": "embedded_dataset_viewer", "benchmark_id": "math", "config": "algebra", "dataset": "EleutherAI/hendrycks_math", "max_tokens": 2048, "prompt_format": "qwen3-no-think", "revision": "21a5633873b6a120296cce3e2df9d5550074f4a3", "scoring_rule": "math_boxed_exact", "split": "test", "task_ids": ["offset:0", "offset...
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no_think
bbh
{"backend": "embedded_dataset_viewer", "benchmark_id": "bbh", "config": "boolean_expressions", "dataset": "lukaemon/bbh", "max_tokens": 32, "prompt_format": "qwen3-no-think", "revision": "982bb89fd79532a8ac676a61fc42eb1aeec63f99", "scoring_rule": "exact_text", "split": "test", "task_ids": ["offset:0", "offset:11", "off...
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0.75
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gpqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "gpqa", "config": "default", "dataset": "hendrydong/gpqa_diamond_mc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "284143babc24a94fbac45d143333b2307e64ff80", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "o...
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truthfulqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "truthfulqa", "config": "multiple_choice", "dataset": "truthfulqa/truthful_qa", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "741b8276f2d1982aa3d5b832d3ee81ed3b896490", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids":...
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winogrande
{"backend": "embedded_dataset_viewer", "benchmark_id": "winogrande", "config": "winogrande_debiased", "dataset": "allenai/winogrande", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "01e74176c63542e6b0bcb004dcdea22d94fb67b5", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids":...
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no_think
drop
{"backend": "embedded_dataset_viewer", "benchmark_id": "drop", "config": "default", "dataset": "ucinlp/drop", "max_tokens": 256, "prompt_format": "qwen3-no-think", "revision": "95cda593fae71b60b5b19f82de3fcf3298c1239c", "scoring_rule": "contains_any", "split": "validation", "task_ids": ["offset:0", "offset:636", "offse...
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piqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "piqa", "config": "plain_text", "dataset": "lighteval/piqa", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "41782e6bf0ef7de82a2ca8a9feb1dca042837fae", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset:0", "offs...
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commonsenseqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "commonsenseqa", "config": "default", "dataset": "tau/commonsense_qa", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "94630fe30dad47192a8546eb75f094926d47e155", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset...
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no_think
mmlu
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu", "config": "all", "dataset": "cais/mmlu", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "c30699e8356da336a370243923dbaf21066bb9fe", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offset:936", "offset:1...
16
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0.9375
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69f235d2d2c8bd8662bd320e
no_think
mmlu_pro
{"backend": "embedded_dataset_viewer", "benchmark_id": "mmlu_pro", "config": "default", "dataset": "TIGER-Lab/MMLU-Pro", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "54611cde22c74cca43dd78732198de6abe971398", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "offse...
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69f235d2d2c8bd8662bd320e
no_think
arc
{"backend": "embedded_dataset_viewer", "benchmark_id": "arc", "config": "ARC-Challenge", "dataset": "allenai/ai2_arc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "210d026faf9955653af8916fad021475a3f00453", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset:0", "o...
16
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1
0.9375
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16
69f235d2d2c8bd8662bd320e
no_think
hellaswag
{"backend": "embedded_dataset_viewer", "benchmark_id": "hellaswag", "config": "default", "dataset": "Rowan/hellaswag", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "218ec52e09a7e7462a5400043bb9a69a41d06b76", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset:0", "o...
16
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0.9375
16
16
69f235d2d2c8bd8662bd320e
no_think
gsm8k
{"backend": "embedded_dataset_viewer", "benchmark_id": "gsm8k", "config": "main", "dataset": "openai/gsm8k", "max_tokens": 1024, "prompt_format": "qwen3-no-think", "revision": "740312add88f781978c0658806c59bc2815b9866", "scoring_rule": "numeric_exact", "split": "test", "task_ids": ["offset:0", "offset:88", "offset:176"...
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69f235d2d2c8bd8662bd320e
no_think
math
{"backend": "embedded_dataset_viewer", "benchmark_id": "math", "config": "algebra", "dataset": "EleutherAI/hendrycks_math", "max_tokens": 2048, "prompt_format": "qwen3-no-think", "revision": "21a5633873b6a120296cce3e2df9d5550074f4a3", "scoring_rule": "math_boxed_exact", "split": "test", "task_ids": ["offset:0", "offset...
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69f235d2d2c8bd8662bd320e
no_think
bbh
{"backend": "embedded_dataset_viewer", "benchmark_id": "bbh", "config": "boolean_expressions", "dataset": "lukaemon/bbh", "max_tokens": 32, "prompt_format": "qwen3-no-think", "revision": "982bb89fd79532a8ac676a61fc42eb1aeec63f99", "scoring_rule": "exact_text", "split": "test", "task_ids": ["offset:0", "offset:11", "off...
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gpqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "gpqa", "config": "default", "dataset": "hendrydong/gpqa_diamond_mc", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "284143babc24a94fbac45d143333b2307e64ff80", "scoring_rule": "multiple_choice_letter", "split": "test", "task_ids": ["offset:0", "o...
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truthfulqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "truthfulqa", "config": "multiple_choice", "dataset": "truthfulqa/truthful_qa", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "741b8276f2d1982aa3d5b832d3ee81ed3b896490", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids":...
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winogrande
{"backend": "embedded_dataset_viewer", "benchmark_id": "winogrande", "config": "winogrande_debiased", "dataset": "allenai/winogrande", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "01e74176c63542e6b0bcb004dcdea22d94fb67b5", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids":...
16
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no_think
drop
{"backend": "embedded_dataset_viewer", "benchmark_id": "drop", "config": "default", "dataset": "ucinlp/drop", "max_tokens": 256, "prompt_format": "qwen3-no-think", "revision": "95cda593fae71b60b5b19f82de3fcf3298c1239c", "scoring_rule": "contains_any", "split": "validation", "task_ids": ["offset:0", "offset:636", "offse...
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69f235d2d2c8bd8662bd320e
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piqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "piqa", "config": "plain_text", "dataset": "lighteval/piqa", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "41782e6bf0ef7de82a2ca8a9feb1dca042837fae", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset:0", "offs...
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69f235d2d2c8bd8662bd320e
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commonsenseqa
{"backend": "embedded_dataset_viewer", "benchmark_id": "commonsenseqa", "config": "default", "dataset": "tau/commonsense_qa", "max_tokens": 16, "prompt_format": "qwen3-no-think", "revision": "94630fe30dad47192a8546eb75f094926d47e155", "scoring_rule": "multiple_choice_letter", "split": "validation", "task_ids": ["offset...
16
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16
16

Qwen3.6-27B BF16 Sidecar Runs

This dataset publishes BF16 sidecar outputs used to compare OpenTQ GGUF artifacts against the base model Qwen/Qwen3.6-27B on pinned practical mini-subsets.

The Dataset Viewer uses flattened Parquet tables so columns have stable types. The original raw JSON files remain in runs/<job_id>/ for reproducibility.

Tables

Config Grain Purpose
results one row per benchmark sample prompts, task IDs, deterministic BF16 outputs, score fields, timing
benchmarks one row per benchmark per run summary pass counts and pass rates
runs one row per sidecar job/mode model, runtime, prompt format and aggregate metadata

Scope

These are small release-quality signals, not full benchmark replacements. Use them for paired BF16-vs-GGUF regression checks only. Official full-harness Qwen scores remain the baseline for model capability claims.

Related

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