Shi Feng

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_4

published a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_4

updated a collection 4 days ago

WC-EM Models

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_3

Updated 4 days ago • 17

published a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_3

Updated 4 days ago • 17

updated a collection 4 days ago

WC-EM Models

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_2

published a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_2

updated a collection 4 days ago

WC-EM Models

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_1

Updated 4 days ago • 16

published a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_1

Updated 4 days ago • 16

updated a collection 4 days ago

WC-EM Models

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_0

published a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_badmed_0

updated a collection 4 days ago

WC-EM Models

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_finrisk_4

published a model 4 days ago

praxisresearch/hf_seed_36b_wc_em_finrisk_4

updated a collection 4 days ago

WC-EM Models

Word Count SFT then EM training models (Qwen 32B and Seed 36B) • 32 items • Updated 4 days ago

updated a model 4 days ago

praxisresearch/hf_qwen_32b_wc_em_badmed_4