Container |
Description |
NGC Catalog |
Latest Tag |
Key Benchmarks |
|---|---|---|---|---|
bfcl |
Function calling evaluation |
25.10 |
bfclv2, bfclv2_ast, bfclv2_ast_prompting, bfclv3, bfclv3_ast, bfclv3_ast_prompting |
|
bigcode-evaluation-harness |
Code generation evaluation |
25.10 |
humaneval, humaneval_instruct, humanevalplus, mbpp, mbppplus, mbppplus_nemo, multiple-cpp, multiple-cs, multiple-d, multiple-go, multiple-java, multiple-jl, multiple-js, multiple-lua, multiple-php, multiple-pl, multiple-py, multiple-r, multiple-rb, multiple-rkt, multiple-rs, multiple-scala, multiple-sh, multiple-swift, multiple-ts |
|
compute-eval |
CUDA code evaluation |
25.10 |
cccl_problems, combined_problems, cuda_problems |
|
garak |
Security and robustness testing |
25.10 |
garak |
|
genai-perf |
GenAI performance benchmarking |
25.10 |
genai_perf_generation, genai_perf_summarization |
|
helm |
Holistic evaluation framework |
25.10 |
aci_bench, ehr_sql, head_qa, med_dialog_healthcaremagic, med_dialog_icliniq, medbullets, medcalc_bench, medec, medhallu, medi_qa, medication_qa, mtsamples_procedures, mtsamples_replicate, pubmed_qa, race_based_med |
|
hle |
Academic knowledge and problem solving |
25.10 |
hle, hle_aa_v2 |
|
ifbench |
Instruction following evaluation |
25.10 |
ifbench, ifbench_aa_v2 |
|
livecodebench |
Live coding evaluation |
25.10 |
AA_codegeneration, codeexecution_v2, codeexecution_v2_cot, codegeneration_notfast, codegeneration_release_latest, codegeneration_release_v1, codegeneration_release_v2, codegeneration_release_v3, codegeneration_release_v4, codegeneration_release_v5, codegeneration_release_v6, livecodebench_0724_0125, livecodebench_0824_0225, livecodebench_aa_v2, testoutputprediction |
|
lm-evaluation-harness |
Language model benchmarks |
25.10 |
adlr_arc_challenge_llama, adlr_gsm8k_fewshot_cot, adlr_humaneval_greedy, adlr_humanevalplus_greedy, adlr_mbpp_sanitized_3shot_greedy, adlr_mbppplus_greedy_sanitized, adlr_minerva_math_nemo, adlr_mmlu_pro_5_shot_base, adlr_race, adlr_truthfulqa_mc2, agieval, arc_challenge, arc_challenge_chat, arc_multilingual, bbh, bbh_instruct, bbq, commonsense_qa, frames_naive, frames_naive_with_links, frames_oracle, global_mmlu, global_mmlu_ar, global_mmlu_bn, global_mmlu_de, global_mmlu_en, global_mmlu_es, global_mmlu_fr, global_mmlu_full, global_mmlu_full_am, global_mmlu_full_ar, global_mmlu_full_bn, global_mmlu_full_cs, global_mmlu_full_de, global_mmlu_full_el, global_mmlu_full_en, global_mmlu_full_es, global_mmlu_full_fa, global_mmlu_full_fil, global_mmlu_full_fr, global_mmlu_full_ha, global_mmlu_full_he, global_mmlu_full_hi, global_mmlu_full_id, global_mmlu_full_ig, global_mmlu_full_it, global_mmlu_full_ja, global_mmlu_full_ko, global_mmlu_full_ky, global_mmlu_full_lt, global_mmlu_full_mg, global_mmlu_full_ms, global_mmlu_full_ne, global_mmlu_full_nl, global_mmlu_full_ny, global_mmlu_full_pl, global_mmlu_full_pt, global_mmlu_full_ro, global_mmlu_full_ru, global_mmlu_full_si, global_mmlu_full_sn, global_mmlu_full_so, global_mmlu_full_sr, global_mmlu_full_sv, global_mmlu_full_sw, global_mmlu_full_te, global_mmlu_full_tr, global_mmlu_full_uk, global_mmlu_full_vi, global_mmlu_full_yo, global_mmlu_full_zh, global_mmlu_hi, global_mmlu_id, global_mmlu_it, global_mmlu_ja, global_mmlu_ko, global_mmlu_pt, global_mmlu_sw, global_mmlu_yo, global_mmlu_zh, gpqa, gpqa_diamond_cot, gpqa_diamond_cot_5_shot, gsm8k, gsm8k_cot_instruct, gsm8k_cot_llama, gsm8k_cot_zeroshot, gsm8k_cot_zeroshot_llama, hellaswag, hellaswag_multilingual, humaneval_instruct, ifeval, m_mmlu_id_str, mbpp_plus, mgsm, mgsm_cot, mmlu, mmlu_cot_0_shot_chat, mmlu_instruct, mmlu_logits, mmlu_pro, mmlu_pro_instruct, mmlu_prox, mmlu_prox_de, mmlu_prox_es, mmlu_prox_fr, mmlu_prox_it, mmlu_prox_ja, mmlu_redux, mmlu_redux_instruct, musr, openbookqa, piqa, social_iqa, truthfulqa, wikilingua, winogrande |
|
mmath |
Multilingual math reasoning |
25.10 |
mmath_ar, mmath_en, mmath_es, mmath_fr, mmath_ja, mmath_ko, mmath_pt, mmath_th, mmath_vi, mmath_zh |
|
mtbench |
Multi-turn conversation evaluation |
25.10 |
mtbench, mtbench-cor1 |
|
nemo-skills |
Language model benchmarks (science, math, agentic) |
25.10 |
ns_aime2024, ns_aime2025, ns_bfcl_v3, ns_gpqa, ns_hle, ns_livecodebench, ns_mmlu, ns_mmlu_pro |
|
profbench |
Professional domains in Business and Scientific Research |
25.10 |
llm_judge, report_generation |
|
safety-harness |
Safety and bias evaluation |
25.10 |
aegis_v2, aegis_v2_reasoning, wildguard |
|
scicode |
Coding for scientific research |
25.10 |
aa_scicode, scicode, scicode_aa_v2, scicode_background |
|
simple-evals |
Basic evaluation tasks |
25.10 |
AA_AIME_2024, AA_math_test_500, AIME_2024, AIME_2025, AIME_2025_aa_v2, aime_2024_nemo, aime_2025_nemo, browsecomp, gpqa_diamond, gpqa_diamond_aa_v2, gpqa_diamond_aa_v2_llama_4, gpqa_diamond_nemo, gpqa_extended, gpqa_main, healthbench, healthbench_consensus, healthbench_hard, humaneval, humanevalplus, math_test_500, math_test_500_nemo, mgsm, mgsm_aa_v2, mmlu, mmlu_am, mmlu_ar, mmlu_ar-lite, mmlu_bn, mmlu_bn-lite, mmlu_cs, mmlu_de, mmlu_de-lite, mmlu_el, mmlu_en, mmlu_en-lite, mmlu_es, mmlu_es-lite, mmlu_fa, mmlu_fil, mmlu_fr, mmlu_fr-lite, mmlu_ha, mmlu_he, mmlu_hi, mmlu_hi-lite, mmlu_id, mmlu_id-lite, mmlu_ig, mmlu_it, mmlu_it-lite, mmlu_ja, mmlu_ja-lite, mmlu_ko, mmlu_ko-lite, mmlu_ky, mmlu_llama_4, mmlu_lt, mmlu_mg, mmlu_ms, mmlu_my-lite, mmlu_ne, mmlu_nl, mmlu_ny, mmlu_pl, mmlu_pro, mmlu_pro_aa_v2, mmlu_pro_llama_4, mmlu_pt, mmlu_pt-lite, mmlu_ro, mmlu_ru, mmlu_si, mmlu_sn, mmlu_so, mmlu_sr, mmlu_sv, mmlu_sw, mmlu_sw-lite, mmlu_te, mmlu_tr, mmlu_uk, mmlu_vi, mmlu_yo, mmlu_yo-lite, mmlu_zh-lite, simpleqa |
|
tooltalk |
Tool usage evaluation |
25.10 |
tooltalk |
|
vlmevalkit |
Vision-language model evaluation |
25.10 |
ai2d_judge, chartqa, mathvista-mini, mmmu_judge, ocrbench, slidevqa |