added 4 results

MaziyarPanahi/calme-3.1-instruct-3b/{results_2024-11-11T12-11-00.982797.json → results_2024-11-22T18-41-54.004959.json}

@@ -11,107 +11,107 @@
     "leaderboard_bbh_compréhension_de_la_date": {
       "alias": "  - leaderboard_bbh_compréhension_de_la_date",
       "acc_norm,none": 0.524,
-      "acc_norm_stderr,none": 0.03164968895968774
+      "acc_norm_stderr,none": 0.031649688959687824
     },
     "leaderboard_bbh_compréhension_des_sports": {
       "alias": "  - leaderboard_bbh_compréhension_des_sports",
       "acc_norm,none": 0.564,
-      "acc_norm_stderr,none": 0.03142556706028136
+      "acc_norm_stderr,none": 0.03142556706028128
     },
     "leaderboard_bbh_comptage_d_objets": {
       "alias": "  - leaderboard_bbh_comptage_d_objets",
       "acc_norm,none": 0.332,
-      "acc_norm_stderr,none": 0.029844039047465857
+      "acc_norm_stderr,none": 0.02984403904746589
     },
     "leaderboard_bbh_déduction_logique_cinq_objets": {
       "alias": "  - leaderboard_bbh_déduction_logique_cinq_objets",
       "acc_norm,none": 0.424,
-      "acc_norm_stderr,none": 0.03131803437491622
+      "acc_norm_stderr,none": 0.03131803437491615
     },
     "leaderboard_bbh_déduction_logique_sept_objets": {
       "alias": "  - leaderboard_bbh_déduction_logique_sept_objets",
       "acc_norm,none": 0.404,
-      "acc_norm_stderr,none": 0.03109668818482536
+      "acc_norm_stderr,none": 0.031096688184825295
     },
     "leaderboard_bbh_déduction_logique_trois_objets": {
       "alias": "  - leaderboard_bbh_déduction_logique_trois_objets",
       "acc_norm,none": 0.592,
-      "acc_norm_stderr,none": 0.03114520984654851
+      "acc_norm_stderr,none": 0.0311452098465485
     },
     "leaderboard_bbh_désambiguïsation_qa": {
       "alias": "  - leaderboard_bbh_désambiguïsation_qa",
       "acc_norm,none": 0.508,
-      "acc_norm_stderr,none": 0.03168215643141386
+      "acc_norm_stderr,none": 0.0316821564314138
     },
     "leaderboard_bbh_expressions_booléennes": {
       "alias": "  - leaderboard_bbh_expressions_booléennes",
       "acc_norm,none": 0.752,
-      "acc_norm_stderr,none": 0.027367497504863593
+      "acc_norm_stderr,none": 0.027367497504863544
     },
     "leaderboard_bbh_formes_géométriques": {
       "alias": "  - leaderboard_bbh_formes_géométriques",
       "acc_norm,none": 0.436,
-      "acc_norm_stderr,none": 0.031425567060281365
+      "acc_norm_stderr,none": 0.03142556706028128
     },
     "leaderboard_bbh_hyperbate": {
       "alias": "  - leaderboard_bbh_hyperbate",
       "acc_norm,none": 0.52,
-      "acc_norm_stderr,none": 0.03166085340849512
+      "acc_norm_stderr,none": 0.031660853408495185
     },
     "leaderboard_bbh_jugement_causal": {
       "alias": "  - leaderboard_bbh_jugement_causal",
       "acc_norm,none": 0.6203208556149733,
-      "acc_norm_stderr,none": 0.03558443628801667
+      "acc_norm_stderr,none": 0.035584436288016635
     },
     "leaderboard_bbh_naviguer": {
       "alias": "  - leaderboard_bbh_naviguer",
       "acc_norm,none": 0.652,
-      "acc_norm_stderr,none": 0.030186568464511673
+      "acc_norm_stderr,none": 0.030186568464511707
     },
     "leaderboard_bbh_pingouins_sur_une_table": {
       "alias": "  - leaderboard_bbh_pingouins_sur_une_table",
       "acc_norm,none": 0.4178082191780822,
-      "acc_norm_stderr,none": 0.040957885112201387
+      "acc_norm_stderr,none": 0.04095788511220136
     },
     "leaderboard_bbh_raisonnement_sur_les_objets_colorés": {
       "alias": "  - leaderboard_bbh_raisonnement_sur_les_objets_colorés",
       "acc_norm,none": 0.396,
-      "acc_norm_stderr,none": 0.030993197854577898
+      "acc_norm_stderr,none": 0.03099319785457785
     },
     "leaderboard_bbh_recommandation_de_film": {
       "alias": "  - leaderboard_bbh_recommandation_de_film",
       "acc_norm,none": 0.548,
-      "acc_norm_stderr,none": 0.03153986449255664
+      "acc_norm_stderr,none": 0.031539864492556614
     },
     "leaderboard_bbh_sarcasmes": {
       "alias": "  - leaderboard_bbh_sarcasmes",
       "acc_norm,none": 0.651685393258427,
-      "acc_norm_stderr,none": 0.035811144737534356
+      "acc_norm_stderr,none": 0.035811144737534335
     },
     "leaderboard_bbh_sophismes_formels": {
       "alias": "  - leaderboard_bbh_sophismes_formels",
       "acc_norm,none": 0.504,
-      "acc_norm_stderr,none": 0.0316851985511992
+      "acc_norm_stderr,none": 0.03168519855119915
     },
     "leaderboard_bbh_suivi_objets_mélangés_cinq_objets": {
       "alias": "  - leaderboard_bbh_suivi_objets_mélangés_cinq_objets",
       "acc_norm,none": 0.196,
-      "acc_norm_stderr,none": 0.025156857313255926
+      "acc_norm_stderr,none": 0.02515685731325592
     },
     "leaderboard_bbh_suivi_objets_mélangés_sept_objets": {
       "alias": "  - leaderboard_bbh_suivi_objets_mélangés_sept_objets",
       "acc_norm,none": 0.1,
-      "acc_norm_stderr,none": 0.01901172751573434
+      "acc_norm_stderr,none": 0.019011727515734368
     },
     "leaderboard_bbh_suivi_objets_mélangés_trois_objets": {
       "alias": "  - leaderboard_bbh_suivi_objets_mélangés_trois_objets",
       "acc_norm,none": 0.328,
-      "acc_norm_stderr,none": 0.029752391824475363
+      "acc_norm_stderr,none": 0.029752391824475376
     },
     "leaderboard_bbh_séquences_temporelles": {
       "alias": "  - leaderboard_bbh_séquences_temporelles",
       "acc_norm,none": 0.18,
-      "acc_norm_stderr,none": 0.02434689065029351
+      "acc_norm_stderr,none": 0.02434689065029353
     },
     "leaderboard_bbh_toile_de_mensonges": {
       "alias": "  - leaderboard_bbh_toile_de_mensonges",
@@ -125,27 +125,27 @@
     "leaderboard_gpqa_diamond_fr": {
       "alias": "  - leaderboard_gpqa_diamond_fr",
       "acc_norm,none": 0.28426395939086296,
-      "acc_norm_stderr,none": 0.0322187960718246
+      "acc_norm_stderr,none": 0.03221879607182462
     },
     "leaderboard_gpqa_extended_fr": {
       "alias": "  - leaderboard_gpqa_extended_fr",
       "acc_norm,none": 0.31307550644567217,
-      "acc_norm_stderr,none": 0.019919544524825132
+      "acc_norm_stderr,none": 0.019919544524825222
     },
     "leaderboard_gpqa_main_fr": {
       "alias": "  - leaderboard_gpqa_main_fr",
       "acc_norm,none": 0.289044289044289,
-      "acc_norm_stderr,none": 0.021911978118877677
+      "acc_norm_stderr,none": 0.021911978118877663
     },
     "leaderboard_ifeval_fr": {
       "alias": " - leaderboard_ifeval_fr",
       "prompt_level_strict_acc,none": 0.017475728155339806,
-      "prompt_level_strict_acc_stderr,none": 0.005779732312541063,
-      "inst_level_strict_acc,none": 0.22924600152322924,
+      "prompt_level_strict_acc_stderr,none": 0.005779732312541064,
+      "inst_level_strict_acc,none": 0.2261995430312262,
       "inst_level_strict_acc_stderr,none": "N/A",
       "prompt_level_loose_acc,none": 0.02330097087378641,
-      "prompt_level_loose_acc_stderr,none": 0.006654046431364132,
-      "inst_level_loose_acc,none": 0.2322924600152323,
+      "prompt_level_loose_acc_stderr,none": 0.006654046431364177,
+      "inst_level_loose_acc,none": 0.22924600152322924,
       "inst_level_loose_acc_stderr,none": "N/A"
     },
     "leaderboard_math_hard_fr": {
@@ -154,38 +154,38 @@
     },
     "leaderboard_math_algebra_hard_fr": {
       "alias": "  - leaderboard_math_algebra_hard_fr",
-      "exact_match,none": 0.2885714285714286,
-      "exact_match_stderr,none": 0.024253789423219704
+      "exact_match,none": 0.28285714285714286,
+      "exact_match_stderr,none": 0.024108694860670427
     },
     "leaderboard_math_counting_and_prob_hard_fr": {
       "alias": "  - leaderboard_math_counting_and_prob_hard_fr",
-      "exact_match,none": 0.04591836734693878,
-      "exact_match_stderr,none": 0.014988862683652368
+      "exact_match,none": 0.05102040816326531,
+      "exact_match_stderr,none": 0.015757346860192097
     },
     "leaderboard_math_geometry_hard_fr": {
       "alias": "  - leaderboard_math_geometry_hard_fr",
-      "exact_match,none": 0.06310679611650485,
-      "exact_match_stderr,none": 0.016982678176624664
+      "exact_match,none": 0.05339805825242718,
+      "exact_match_stderr,none": 0.015702525139063304
     },
     "leaderboard_math_num_theory_hard_fr": {
       "alias": "  - leaderboard_math_num_theory_hard_fr",
-      "exact_match,none": 0.08755760368663594,
-      "exact_match_stderr,none": 0.01923192630652675
+      "exact_match,none": 0.09216589861751152,
+      "exact_match_stderr,none": 0.019681649865624786
     },
     "leaderboard_math_prealgebra_hard_fr": {
       "alias": "  - leaderboard_math_prealgebra_hard_fr",
-      "exact_match,none": 0.36283185840707965,
-      "exact_match_stderr,none": 0.0454329274995358
+      "exact_match,none": 0.35398230088495575,
+      "exact_match_stderr,none": 0.045186007587007644
     },
     "leaderboard_math_precalculus_hard_fr": {
       "alias": "  - leaderboard_math_precalculus_hard_fr",
       "exact_match,none": 0.047619047619047616,
-      "exact_match_stderr,none": 0.02337527112732457
+      "exact_match_stderr,none": 0.02337527112732456
     },
     "leaderboard_mmlu_fr": {
       "alias": " - leaderboard_mmlu_fr",
-      "acc,none": 0.5614584816977638,
-      "acc_stderr,none": 0.004187599716344914
+      "acc,none": 0.5615296966244124,
+      "acc_stderr,none": 0.004187525235419421
     },
     "leaderboard_musr_fr": {
       " ": " ",
@@ -194,7 +194,7 @@
     "leaderboard_musr_murder_mysteries_fr": {
       "alias": "  - leaderboard_musr_murder_mysteries_fr",
       "acc_norm,none": 0.476,
-      "acc_norm_stderr,none": 0.03164968895968774
+      "acc_norm_stderr,none": 0.03164968895968782
     },
     "leaderboard_musr_object_placements_fr": {
       "alias": "  - leaderboard_musr_object_placements_fr",
@@ -203,8 +203,8 @@
     },
     "leaderboard_musr_team_allocation_fr": {
       "alias": "  - leaderboard_musr_team_allocation_fr",
-      "acc_norm,none": 0.24,
-      "acc_norm_stderr,none": 0.027065293652238982
+      "acc_norm,none": 0.244,
+      "acc_norm_stderr,none": 0.027217995464553182
     }
   },
   "group_subtasks": {
@@ -1521,7 +1521,7 @@
       "fewshot_delimiter": "\n\n",
       "fewshot_config": {
         "sampler": "first_n",
-        "samples": "<function list_fewshot_samples at 0x738d4af35940>"
+        "samples": "<function list_fewshot_samples at 0x78c32202d5a0>"
       },
       "num_fewshot": 4,
       "metric_list": [
@@ -1564,7 +1564,7 @@
       "fewshot_delimiter": "\n\n",
       "fewshot_config": {
         "sampler": "first_n",
-        "samples": "<function list_fewshot_samples at 0x738d4af12e80>"
+        "samples": "<function list_fewshot_samples at 0x78c3135e7c70>"
       },
       "num_fewshot": 4,
       "metric_list": [
@@ -1607,7 +1607,7 @@
       "fewshot_delimiter": "\n\n",
       "fewshot_config": {
         "sampler": "first_n",
-        "samples": "<function list_fewshot_samples at 0x738d4af10540>"
+        "samples": "<function list_fewshot_samples at 0x78c3135e6170>"
       },
       "num_fewshot": 4,
       "metric_list": [
@@ -1650,7 +1650,7 @@
       "fewshot_delimiter": "\n\n",
       "fewshot_config": {
         "sampler": "first_n",
-        "samples": "<function list_fewshot_samples at 0x738d4cdedda0>"
+        "samples": "<function list_fewshot_samples at 0x78c3135bd2d0>"
       },
       "num_fewshot": 4,
       "metric_list": [
@@ -1693,7 +1693,7 @@
       "fewshot_delimiter": "\n\n",
       "fewshot_config": {
         "sampler": "first_n",
-        "samples": "<function list_fewshot_samples at 0x738d4cd839c0>"
+        "samples": "<function list_fewshot_samples at 0x78c3135e4040>"
       },
       "num_fewshot": 4,
       "metric_list": [
@@ -1736,7 +1736,7 @@
       "fewshot_delimiter": "\n\n",
       "fewshot_config": {
         "sampler": "first_n",
-        "samples": "<function list_fewshot_samples at 0x738d4c309a80>"
+        "samples": "<function list_fewshot_samples at 0x78c3135bcaf0>"
       },
       "num_fewshot": 4,
       "metric_list": [
@@ -2248,8 +2248,8 @@
   },
   "config": {
     "model": "vllm",
-    "model_args": "pretrained=MaziyarPanahi/calme-3.1-instruct-3b,tensor_parallel_size=1,dtype=auto,gpu_memory_utilization=0.6,data_parallel_size=4,trust_remote_code=True,max_model_len=4048",
-    "batch_size": 1,
+    "model_args": "pretrained=MaziyarPanahi/calme-3.1-instruct-3b,tensor_parallel_size=1,dtype=auto,gpu_memory_utilization=0.7,data_parallel_size=4,enforce_eager=true,max_model_len=4096",
+    "batch_size": "auto",
     "batch_sizes": [],
     "device": null,
     "use_cache": null,
@@ -2262,9 +2262,9 @@
     "fewshot_seed": 1234
   },
   "git_hash": "64286c9b",
-  "date": 1731325529.5490038,
-  "pretty_env_info": "PyTorch version: 2.4.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 24.04.1 LTS (x86_64)\nGCC version: (Ubuntu 13.2.0-23ubuntu4) 13.2.0\nClang version: Could not collect\nCMake version: Could not collect\nLibc version: glibc-2.39\n\nPython version: 3.12.3 (main, Sep 11 2024, 14:17:37) [GCC 13.2.0] (64-bit runtime)\nPython platform: Linux-6.8.0-1017-azure-x86_64-with-glibc2.39\nIs CUDA available: True\nCUDA runtime version: 12.6.77\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: NVIDIA A100 80GB PCIe\nGPU 1: NVIDIA A100 80GB PCIe\nGPU 2: NVIDIA A100 80GB PCIe\nGPU 3: NVIDIA A100 80GB PCIe\n\nNvidia driver version: 550.120\ncuDNN version: Could not collect\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                         x86_64\nCPU op-mode(s):                       32-bit, 64-bit\nAddress sizes:                        48 bits physical, 48 bits virtual\nByte Order:                           Little Endian\nCPU(s):                               96\nOn-line CPU(s) list:                  0-95\nVendor ID:                            AuthenticAMD\nModel name:                           AMD EPYC 7V13 64-Core Processor\nCPU family:                           25\nModel:                                1\nThread(s) per core:                   1\nCore(s) per socket:                   48\nSocket(s):                            2\nStepping:                             1\nBogoMIPS:                             4890.87\nFlags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext perfctr_core vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves user_shstk clzero xsaveerptr rdpru arat umip vaes vpclmulqdq rdpid fsrm\nHypervisor vendor:                    Microsoft\nVirtualization type:                  full\nL1d cache:                            3 MiB (96 instances)\nL1i cache:                            3 MiB (96 instances)\nL2 cache:                             48 MiB (96 instances)\nL3 cache:                             384 MiB (12 instances)\nNUMA node(s):                         4\nNUMA node0 CPU(s):                    0-23\nNUMA node1 CPU(s):                    24-47\nNUMA node2 CPU(s):                    48-71\nNUMA node3 CPU(s):                    72-95\nVulnerability Gather data sampling:   Not affected\nVulnerability Itlb multihit:          Not affected\nVulnerability L1tf:                   Not affected\nVulnerability Mds:                    Not affected\nVulnerability Meltdown:               Not affected\nVulnerability Mmio stale data:        Not affected\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed:               Not affected\nVulnerability Spec rstack overflow:   Vulnerable: Safe RET, no microcode\nVulnerability Spec store bypass:      Vulnerable\nVulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:             Mitigation; Retpolines; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected\nVulnerability Srbds:                  Not affected\nVulnerability Tsx async abort:        Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] torch==2.4.0\n[pip3] torchvision==0.19.0\n[pip3] triton==3.0.0\n[conda] Could not collect",
-  "transformers_version": "4.46.2",
+  "date": 1732299281.6836495,
+  "pretty_env_info": "PyTorch version: 2.5.1+cu124\nIs debug build: False\nCUDA used to build PyTorch: 12.4\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.5 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: Could not collect\nCMake version: version 3.22.1\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.5.0-1024-azure-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.4.131\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: NVIDIA A100 80GB PCIe\nGPU 1: NVIDIA A100 80GB PCIe\nGPU 2: NVIDIA A100 80GB PCIe\nGPU 3: NVIDIA A100 80GB PCIe\n\nNvidia driver version: 550.90.07\ncuDNN version: Could not collect\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                       x86_64\nCPU op-mode(s):                     32-bit, 64-bit\nAddress sizes:                      48 bits physical, 48 bits virtual\nByte Order:                         Little Endian\nCPU(s):                             96\nOn-line CPU(s) list:                0-95\nVendor ID:                          AuthenticAMD\nModel name:                         AMD EPYC 7V13 64-Core Processor\nCPU family:                         25\nModel:                              1\nThread(s) per core:                 1\nCore(s) per socket:                 48\nSocket(s):                          2\nStepping:                           1\nBogoMIPS:                           4890.87\nFlags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext perfctr_core invpcid_single vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves clzero xsaveerptr rdpru arat umip vaes vpclmulqdq rdpid fsrm\nHypervisor vendor:                  Microsoft\nVirtualization type:                full\nL1d cache:                          3 MiB (96 instances)\nL1i cache:                          3 MiB (96 instances)\nL2 cache:                           48 MiB (96 instances)\nL3 cache:                           384 MiB (12 instances)\nNUMA node(s):                       4\nNUMA node0 CPU(s):                  0-23\nNUMA node1 CPU(s):                  24-47\nNUMA node2 CPU(s):                  48-71\nNUMA node3 CPU(s):                  72-95\nVulnerability Gather data sampling: Not affected\nVulnerability Itlb multihit:        Not affected\nVulnerability L1tf:                 Not affected\nVulnerability Mds:                  Not affected\nVulnerability Meltdown:             Not affected\nVulnerability Mmio stale data:      Not affected\nVulnerability Retbleed:             Not affected\nVulnerability Spec rstack overflow: Vulnerable: Safe RET, no microcode\nVulnerability Spec store bypass:    Vulnerable\nVulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:           Mitigation; Retpolines; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected\nVulnerability Srbds:                Not affected\nVulnerability Tsx async abort:      Not affected\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] torch==2.5.1\n[pip3] torchvision==0.20.1\n[pip3] triton==3.1.0\n[conda] No relevant packages",
+  "transformers_version": "4.46.3",
   "upper_git_hash": null,
   "tokenizer_pad_token": [
     "<|endoftext|>",
@@ -2279,7 +2279,7 @@
     "None"
   ],
   "eot_token_id": 151645,
-  "max_length": 4048,
+  "max_length": 4096,
   "task_hashes": {},
   "model_source": "vllm",
   "model_name": "MaziyarPanahi/calme-3.1-instruct-3b",
@@ -2289,7 +2289,7 @@
   "fewshot_as_multiturn": false,
   "chat_template": null,
   "chat_template_sha": null,
-  "start_time": 11493.044851594,
-  "end_time": 13029.38191958,
-  "total_evaluation_time_seconds": "1536.337067986"
+  "start_time": 7491.564958994,
+  "end_time": 9129.853715093,
+  "total_evaluation_time_seconds": "1638.2887560990002"
 }

MaziyarPanahi/calme-3.1-instruct-3b/{results_2024-11-11T12-11-00.982797_norm.json → results_2024-11-22T18-41-54.004959_norm.json}

@@ -11,16 +11,16 @@
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         "MATH Lvl5-fr": {
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         "MMMLU-fr": {
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 }

MaziyarPanahi/calme-3.2-baguette-3b/results_2024-11-22T19-11-43.556179_norm.json

@@ -0,0 +1,26 @@
+{
+    "config": {
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+        "GPQA-fr": {
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+        "IFEval-fr": {
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+        "MUSR-fr": {
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+        "MMMLU-fr": {
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+    }
+}

MaziyarPanahi/calme-3.2-instruct-3b/results_2024-11-22T19-39-13.259226_norm.json

@@ -0,0 +1,26 @@
+{
+    "config": {
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+    "results": {
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+        "MMMLU-fr": {
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+}

microsoft/Phi-3-small-128k-instruct/results_2024-11-22T20-20-13.815550_norm.json

@@ -0,0 +1,26 @@
+{
+    "config": {
+        "model_name": "microsoft/Phi-3-small-128k-instruct",
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+    },
+    "results": {
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+}