| vandijklab/C2S-Pythia-410m-cell-type-prediction | EleutherAI/pythia-410m | finetune | — | 405M | S | cc-by-4.0 | vandijklab | 10 | 20.3k |
| mradermacher/pythia-410m-i1-GGUF | EleutherAI/pythia-410m | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 17.9k |
| mlabonne/chesspythia-70m | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | mlabonne | 4 | 15.2k |
| mradermacher/pythia-160m-i1-GGUF | EleutherAI/pythia-160m | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 14.2k |
| vandijklab/C2S-Pythia-410m-diverse-single-and-multi-cell-tasks | EleutherAI/pythia-410m | finetune | — | 405M | S | cc-by-4.0 | vandijklab | 5 | 13.6k |
| mradermacher/pythia-410m-GGUF | EleutherAI/pythia-410m | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 10.8k |
| mradermacher/pythia-70m-deduped-i1-GGUF | EleutherAI/pythia-70m-deduped | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 8.6k |
| mradermacher/pythia-160m-GGUF | EleutherAI/pythia-160m | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 8.3k |
| mradermacher/pythia-70m-deduped-GGUF | EleutherAI/pythia-70m-deduped | quantized | GGUF | — | — | apache-2.0 | mradermacher | 0 | 6.4k |
| 294-288-pretrain-interaction/160M-exp | EleutherAI/pythia-160m | finetune | — | — | — | — | 294-288-pretrain-interaction | 2 | 3.6k |
| Xenova/pythia-70m-deduped | EleutherAI/pythia-70m-deduped | quantized | — | — | — | — | Xenova | 0 | 3.4k |
| vandijklab/C2S-Pythia-410m-cell-type-conditioned-cell-generation | EleutherAI/pythia-410m | finetune | — | 405M | S | cc-by-4.0 | vandijklab | 2 | 3k |
| tensorblock/pythia-410m-GGUF | EleutherAI/pythia-410m | quantized | GGUF | — | — | apache-2.0 | tensorblock | 0 | 2.4k |
| jmichaelov/parc-pythia-seed0 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | jmichaelov | 0 | 2.2k |
| mlabonne/grandpythia-200k-70m | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | mlabonne | 3 | 1.9k |
| tensorblock/pythia-70m-deduped-GGUF | EleutherAI/pythia-70m-deduped | quantized | GGUF | — | — | apache-2.0 | tensorblock | 0 | 2k |
| tensorblock/pythia-160m-GGUF | EleutherAI/pythia-160m | quantized | GGUF | — | — | apache-2.0 | tensorblock | 0 | 1.9k |
| jmichaelov/parc-pythia-seed1 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | jmichaelov | 0 | 1.7k |
| jmichaelov/parc-pythia-seed4 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | jmichaelov | 0 | 1.4k |
| qing-yao/ppt-pythia-160m-uniform250-previous_mse-seed324-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 1.4k |
| jmichaelov/parc-pythia-seed5 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | jmichaelov | 0 | 1.4k |
| jmichaelov/parc-pythia-seed3 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | jmichaelov | 0 | 1.4k |
| vineetsharma/databricks-dolly-15k-pythia-70m-deduped-v1 | EleutherAI/pythia-70m-deduped | finetune | — | — | — | apache-2.0 | vineetsharma | 0 | 1.3k |
| jmichaelov/parc-pythia-seed2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | jmichaelov | 0 | 1.2k |
| Xenova/pythia-160m | EleutherAI/pythia-160m | quantized | — | — | — | — | Xenova | 0 | 1.1k |
| shehryars715/pythia-410m-step50000-alpaca | EleutherAI/pythia-410m | finetune | — | 405M | S | other | shehryars715 | 1 | 1k |
| Xenova/pythia-410m | EleutherAI/pythia-410m | quantized | — | — | — | — | Xenova | 0 | 1.1k |
| avgJo3/a2d-gpt-neox-160M | EleutherAI/pythia-160m | finetune | — | 162M | S | — | avgJo3 | 1 | 970 |
| masahiroid/pythia-160m-mlx | EleutherAI/pythia-160m | finetune | mlx | 162M | S | apache-2.0 | masahiroid | 1 | 925 |
| qing-yao/ppt-pythia-160m-uniform250-current_mse-seed1024-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 938 |
| tim-lawson/mlsae-pythia-70m-deduped-x64-k32-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 104M | S | mit | tim-lawson | 0 | 849 |
| jtatman/outputs | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | jtatman | 0 | 751 |
| qing-yao/ppt-pythia-160m-uniform250-current_mse-seed208-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 742 |
| qing-yao/ppt-pythia-160m-uniform250-current_mse-seed324-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 705 |
| qing-yao/ppt-pythia-160m-uniform250-current_mse-seed1024-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 679 |
| MusaKlair/pythia410m-dpo-beta0.5 | EleutherAI/pythia-410m | finetune | — | 405M | S | — | MusaKlair | 0 | 668 |
| mxcui/vanilla-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.05-EleutherAI-pythia-160m-lr1.4e-5 | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 663 |
| mxcui/maxmin-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.05-EleutherAI-pythia-160m-lr1.4e-5 | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 661 |
| mxcui/pcgrad-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.05-EleutherAI-pythia-160m-lr1.4e-5 | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 650 |
| MusaKlair/pythia410m-dpo-beta1.0 | EleutherAI/pythia-410m | finetune | — | 405M | S | — | MusaKlair | 0 | 643 |
| qing-yao/ppt-pythia-160m-uniform250-current_mse-seed208-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 638 |
| ddgoede/pythia-70m-ce-matched | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | ddgoede | 0 | 621 |
| qing-yao/ppt-pythia-160m-uniform250-current_mse-seed324-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 613 |
| qing-yao/ppt-pythia-160m-uniform250-previous_mse-seed1024-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 607 |
| qing-yao/ppt-pythia-160m-uniform250-previous_mse-seed208-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 605 |
| MusaKlair/pythia410m-dpo-beta0.1 | EleutherAI/pythia-410m | finetune | — | 405M | S | — | MusaKlair | 0 | 597 |
| mxcui/pcgrad-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160m | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 566 |
| mxcui/vanilla-imdb-ppo-prop0.2-alpha1.0-seed42-kl0.15-EleutherAI-pythia-160m-lr7e-6 | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 549 |
| qing-yao/ppt-pythia-160m-uniform250-uniform-seed208-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 532 |
| kykim0/pythia-410m-tulu-v2-mix | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | kykim0 | 0 | 525 |
| qing-yao/ppt-pythia-160m-uniform250-previous_ce-seed1024-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 513 |
| DNA-LLM/virus-pythia-302M-2048-cross_entropy | EleutherAI/pythia-410m | finetune | — | 302M | S | apache-2.0 | DNA-LLM | 0 | 507 |
| qing-yao/ppt-pythia-160m-uniform250-sampled-seed208-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 499 |
| qing-yao/ppt-pythia-160m-uniform250-sampled-seed324-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 491 |
| qing-yao/ppt-pythia-160m-uniform250-uniform-seed324-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 475 |
| koshirowada/pythia_160m_sft | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | koshirowada | 0 | 471 |
| agentlans/pythia-70m-wikipedia-paragraphs | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | agentlans | 3 | 319 |
| mechramc/kalavai-cross-lingual-welsh-specialist-seed137 | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | mechramc | 0 | 469 |
| mechramc/kalavai-cross-lingual-code-specialist-seed2026 | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | mechramc | 0 | 467 |
| islamrokon/QATrainedModel1 | EleutherAI/pythia-410m | finetune | — | — | — | apache-2.0 | islamrokon | 0 | 449 |
| vwxyzjn/ppo | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | vwxyzjn | 0 | 433 |
| mxcui/maxmin-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160m | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 428 |
| vineetsharma/databricks-dolly-15k-pythia-70m-deduped | EleutherAI/pythia-70m-deduped | finetune | — | — | — | apache-2.0 | vineetsharma | 0 | 428 |
| shehryars715/pythia-410m-step5000-alpaca | EleutherAI/pythia-410m | finetune | — | 405M | S | — | shehryars715 | 2 | 324 |
| superlazycoder/chesspythia-70m-random_1M | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | superlazycoder | 0 | 404 |
| mxcui/vanilla-imdb-ppo-prop0.2-alpha1.0-seed42-mean_kl0.1-EleutherAI-pythia-160m | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mxcui | 0 | 402 |
| vwxyzjn/sft | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | vwxyzjn | 0 | 382 |
| mechramc/kalavai-cross-lingual-yoruba-specialist-seed137 | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | mechramc | 0 | 375 |
| mia-llm/pythia-160m-xsum-roya | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mia-llm | 0 | 373 |
| brooogrammer/out | EleutherAI/pythia-160m | finetune | — | 268M | S | apache-2.0 | brooogrammer | 0 | 370 |
| Padlex/ppo | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | Padlex | 0 | 369 |
| tim-lawson/mlsae-pythia-70m-deduped-x1-k32-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 71.0M | S | mit | tim-lawson | 0 | 363 |
| AliSaadatV/virus_pythia_410_1024_2d_representation_MSEPlusCE | EleutherAI/pythia-410m | finetune | — | 302M | S | apache-2.0 | AliSaadatV | 0 | 363 |
| AliSaadatV/virus_pythia_160_1024_2d_representation_MSEPlusCE | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | AliSaadatV | 0 | 340 |
| qing-yao/ppt-pythia-160m-uniform250-previous_ce-seed1024-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 340 |
| ridaa4142/dpo-pythia-410m-beta-0_1 | EleutherAI/pythia-410m | finetune | — | 405M | S | — | ridaa4142 | 0 | 339 |
| mechramc/kalavai-phase1-410m-science-specialist-seed42 | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | mechramc | 0 | 335 |
| van-ng/pythia410-XYZCompany-1-steps | EleutherAI/pythia-410m | finetune | — | — | — | apache-2.0 | van-ng | 0 | 317 |
| qing-yao/ppt-pythia-160m-uniform250-previous_ce-seed208-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 316 |
| tim-lawson/mlsae-pythia-70m-deduped-x32-k32-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 87.2M | S | mit | tim-lawson | 0 | 298 |
| tim-lawson/mlsae-pythia-70m-deduped-x1-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 525K | S | mit | tim-lawson | 0 | 282 |
| tim-lawson/mlsae-pythia-70m-deduped-x4-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 2.10M | S | mit | tim-lawson | 0 | 282 |
| qing-yao/ppt-pythia-160m-uniform250-previous_ce-seed324-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 278 |
| qing-yao/ppt-pythia-160m-uniform250-baseline_warmup2000-seed1024-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 277 |
| ridaa4142/dpo-pythia-410m-beta-0_5 | EleutherAI/pythia-410m | finetune | — | 405M | S | — | ridaa4142 | 0 | 277 |
| qing-yao/ppt-pythia-160m-uniform250-previous_mse-seed208-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 276 |
| mia-llm/pythia-160m-wikitext2raw-roya | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mia-llm | 0 | 274 |
| xiulinyang/pretraining-10Mf-10k-42 | EleutherAI/pythia-160m | finetune | — | 162M | S | — | xiulinyang | 0 | 274 |
| qing-yao/ppt-pythia-160m-uniform250-previous_mse-seed1024-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 268 |
| qing-yao/non_binomial-finetuned-ep10_seed-42_1e-4 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 265 |
| qing-yao/ppt-pythia-160m-uniform250-previous_mse-seed324-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 259 |
| tim-lawson/mlsae-pythia-70m-deduped-x64-k64-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 104M | S | mit | tim-lawson | 0 | 257 |
| ridaa4142/dpo-pythia-410m-beta-1_0 | EleutherAI/pythia-410m | finetune | — | 405M | S | — | ridaa4142 | 0 | 257 |
| qing-yao/ppt-pythia-160m-uniform250-sampled-seed1024-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 256 |
| tim-lawson/mlsae-pythia-70m-deduped-x4-k32-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 72.5M | S | mit | tim-lawson | 0 | 256 |
| qing-yao/ppt-pythia-160m-uniform250-baseline_warmup2000-seed208-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 250 |
| qing-yao/ppt-pythia-160m-uniform250-uniform-seed1024-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 248 |
| qing-yao/ppt-pythia-160m-uniform250-baseline_warmup2000-seed324-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 246 |
| fbaldassarri/EleutherAI_pythia-160m-autogptq-int4-gs128-sym | EleutherAI/pythia-160m | quantized | gptq | 162M | S | apache-2.0 | fbaldassarri | 0 | 244 |
| DNA-LLM/virus-pythia-85M-2048-cross_entropy | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | DNA-LLM | 0 | 235 |
| tim-lawson/mlsae-pythia-70m-deduped-x2-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 1.05M | S | mit | tim-lawson | 0 | 233 |
| mia-llm/pythia-410m-AGnews-roya | EleutherAI/pythia-410m | finetune | — | 405M | S | — | mia-llm | 0 | 223 |
| tim-lawson/mlsae-pythia-70m-deduped-x64-k512-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 104M | S | mit | tim-lawson | 0 | 215 |
| mechramc/kalavai-cross-lingual-code-specialist-seed137 | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | mechramc | 0 | 215 |
| mechramc/kalavai-cross-lingual-welsh-specialist-seed2026 | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | mechramc | 0 | 210 |
| tim-lawson/mlsae-pythia-70m-deduped-x32-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 16.8M | S | mit | tim-lawson | 0 | 209 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps100-seed324 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 205 |
| tim-lawson/mlsae-pythia-70m-deduped-x8-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 4.19M | S | mit | tim-lawson | 0 | 205 |
| tim-lawson/mlsae-pythia-70m-deduped-x16-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 8.39M | S | mit | tim-lawson | 0 | 193 |
| qing-yao/ppt-pythia-160m-uniform250-previous_ce-seed208-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 192 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps100-seed1024 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 181 |
| mia-llm/pythia-410m-xsum-roya | EleutherAI/pythia-410m | finetune | — | 405M | S | — | mia-llm | 0 | 177 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps500-seed208 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 176 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps1000-seed1024 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 176 |
| SurfaceData/dummy_pythia160m_lora16_peft_chat | EleutherAI/pythia-160m | adapter | — | — | — | — | SurfaceData | 0 | 174 |
| tim-lawson/mlsae-pythia-70m-deduped-x256-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 134M | S | mit | tim-lawson | 0 | 174 |
| franzhanz/pythia-70m-deduped-finetuned-Fox | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 173 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps1000-seed208 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 168 |
| Joshua-Abok/Malawi-Public-Health-Systems | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | Joshua-Abok | 1 | 118 |
| SystemAdmin123/pythia-160m | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | SystemAdmin123 | 0 | 167 |
| fbaldassarri/EleutherAI_pythia-70m-deduped-autogptq-int4-gs128-asym | EleutherAI/pythia-70m-deduped | quantized | gptq | 70.4M | S | apache-2.0 | fbaldassarri | 0 | 167 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps1000-seed324 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 166 |
| tim-lawson/mlsae-pythia-70m-deduped-x64-k256-tfm | EleutherAI/pythia-70m-deduped | finetune | — | 104M | S | mit | tim-lawson | 0 | 166 |
| franzhanz/pythia-70m-deduped-finetuned-Breitbart | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 164 |
| mia-llm/pythia-160m-AGnews-roya | EleutherAI/pythia-160m | finetune | — | 162M | S | — | mia-llm | 0 | 162 |
| fbaldassarri/EleutherAI_pythia-160m-autoround-int4-gs128-asym | EleutherAI/pythia-160m | quantized | int4 | 88.8M | S | apache-2.0 | fbaldassarri | 0 | 160 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps500-seed324 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 159 |
| franzhanz/pythia-70m-deduped-finetuned-NYT | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 155 |
| franzhanz/pythia-70m-deduped-finetuned-Washpost | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 154 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps100-seed208 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 153 |
| qing-yao/ppt-pythia-160m-uniform250-sampled-seed324-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 152 |
| qing-yao/ppt-pythia-160m-uniform250-uniform-seed1024-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 151 |
| qing-yao/ppt-pythia-160m-uniform250-uniform-seed324-stage2 | EleutherAI/pythia-160m | finetune | — | 162M | S | apache-2.0 | qing-yao | 0 | 150 |
| error577/d71d5b54-5e85-4947-9c78-097fdffe44b5 | EleutherAI/pythia-160m | adapter | — | — | — | apache-2.0 | error577 | 0 | 149 |
| sashaboguraev/pythia-160m-ppt-c4_ppt_steps500-seed1024 | EleutherAI/pythia-160m | finetune | — | 162M | S | mit | sashaboguraev | 0 | 148 |
| franzhanz/pythia-70m-deduped-finetuned-WSJ | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 148 |
| qing-yao/ppt-pythia-160m-uniform250-sampled-seed1024-stage1 | EleutherAI/pythia-160m | finetune | — | 85.1M | S | apache-2.0 | qing-yao | 0 | 145 |
| tim-lawson/mlsae-pythia-70m-deduped-x64-k32 | EleutherAI/pythia-70m-deduped | finetune | — | 33.6M | S | mit | tim-lawson | 0 | 143 |
| mia-llm/pythia-410m-xsum-oneepoch | EleutherAI/pythia-410m | finetune | — | 405M | S | — | mia-llm | 0 | 135 |
| AMindToThink/ppo_push_main_13 | EleutherAI/pythia-160m | finetune | — | 162M | S | — | AMindToThink | 0 | 134 |
| franzhanz/pythia-70m-deduped-finetuned-Nypost | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 134 |
| franzhanz/pythia-70m-deduped-finetuned-USAToday | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 133 |
| OLAResearchX/xmemtransfer-pythia410m-from-pythia160m-20m | EleutherAI/pythia-410m | finetune | — | — | — | apache-2.0 | OLAResearchX | 0 | 132 |
| fbaldassarri/EleutherAI_pythia-160m-autogptq-int8-gs128-sym | EleutherAI/pythia-160m | quantized | gptq | 162M | S | apache-2.0 | fbaldassarri | 0 | 131 |
| itlwas/pythia-160m-Q4_K_M-GGUF | EleutherAI/pythia-160m | quantized | GGUF | — | — | apache-2.0 | itlwas | 0 | 130 |
| fbaldassarri/EleutherAI_pythia-160m-autoround-int8-gs128-asym | EleutherAI/pythia-160m | quantized | int8 | 99.5M | S | apache-2.0 | fbaldassarri | 0 | 130 |
| fbaldassarri/EleutherAI_pythia-70m-deduped-autogptq-int8-gs128-sym | EleutherAI/pythia-70m-deduped | quantized | gptq | 70.4M | S | apache-2.0 | fbaldassarri | 0 | 130 |
| fbaldassarri/EleutherAI_pythia-410m-autogptq-int8-gs128-sym | EleutherAI/pythia-410m | quantized | gptq | 405M | S | apache-2.0 | fbaldassarri | 0 | 130 |
| devam-sheth-bits/sleep-ai-combined-evolving | EleutherAI/pythia-410m | finetune | — | 405M | S | apache-2.0 | devam-sheth-bits | 0 | 130 |
| franzhanz/pythia-70m-deduped-finetuned-MSNBC | EleutherAI/pythia-70m-deduped | finetune | — | 70.4M | S | apache-2.0 | franzhanz | 0 | 129 |