Split (1)

train · 125k rows

index int64 0 125k	modelId stringlengths 6 115	config_model_type stringlengths 2 46 ⌀	config_architectures stringlengths 2 91 ⌀	config_vocab_size stringlengths 1 8 ⌀	config_torch_dtype stringclasses 7 values	config_transformers_version stringclasses 228 values	config_hidden_size float64 0 18.4k ⌀	config_intermediate_size float64 0 25.2M ⌀	config_num_hidden_layers float64 -1 260 ⌀	config_num_attention_heads stringclasses 47 values	config_num_key_value_heads float64 0 4.1k ⌀	config_hidden_act stringclasses 19 values	config_attention_dropout float64 0 0.5 ⌀	config_use_cache stringclasses 3 values	config_max_position_embeddings float64 -1 10.5M ⌀	config_rope_theta float64 256 100B ⌀	config_rms_norm_eps float64 0 0 ⌀	config_initializer_range float64 0 2 ⌀	config_bos_token_id stringclasses 158 values	config_eos_token_id stringclasses 339 values	config_tie_word_embeddings bool 2 classes	config_head_dimension float64 0.5 3.07k ⌀	config_gqa_ratio float64 0.5 64 ⌀	config_moe_enabled bool 1 class	config_n_routed_experts float64 1 384 ⌀	config_num_experts_per_tok float64 1 64 ⌀	is_llama_family bool 2 classes	is_bert_family bool 2 classes	is_gpt_family bool 2 classes	is_t5_family bool 2 classes	is_whisper_family bool 2 classes	is_deepseek_family bool 2 classes	is_mistral_family bool 2 classes	uses_moe bool 2 classes	uses_gqa bool 2 classes	uses_rope bool 2 classes	config_approx_params_billions float64 -0.2 606 ⌀	size_category stringclasses 4 values	context_category stringclasses 4 values
3,800	AntoDono/DialoGPT-Harry	gpt2	["GPT2LMHeadModel"]	50257	float32	4.18.0	null	null	null	null	null	null	null	True	null	null	null	0.02	50256	50256	null	null	null	false	null	null	false	false	true	false	false	false	false	false	false	false	null	null	null
3,801	Antoine101/detr-resnet-50-dc5-finetuned-license-plates	detr	["DetrForObjectDetection"]	null	float32	4.53.0	null	null	6	null	null	null	0	null	1,024	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	short
3,802	AntoineD/MiniLM_classification_tools_fr	bert	["BertForSequenceClassification"]	250037	float32	4.34.0	384	1,536	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	32	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.021234	small	short
3,803	AntoineD/MiniLM_uncased_classification_tools_classifier-only_fr	bert	["BertForSequenceClassification"]	30522	float32	4.34.0	384	1,536	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	32	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.021234	small	short
3,804	AntoineD/MiniLM_uncased_classification_tools_fr	bert	["BertForSequenceClassification"]	30522	float32	4.34.0	384	1,536	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	32	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.021234	small	short
3,805	AntoineD/TinyLlama-1.1B_vocal_multimodal_chatbot_fr_V2	llama	["LlamaForCausalLM"]	32001	float32	4.34.0	2,048	5,632	22	32	4	silu	null	True	2,048	10,000	0.00001	0.02	1	2	false	64	8	false	null	null	true	false	false	false	false	false	false	false	true	true	1.107296	medium	medium
3,806	AntoineD/camembert_ccnet_classification_tools_classifier-only_fr	camembert	["CamembertForSequenceClassification"]	32005	float32	4.34.0	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	0	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,807	AntoineD/camembert_ccnet_classification_tools_classifier-only_fr-p0.2	camembert	["CamembertForSequenceClassification"]	32005	float32	4.34.0	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	0	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,808	AntoineD/camembert_ccnet_classification_tools_classifier-only_fr_lr1e-3_V3	camembert	["CamembertForSequenceClassification"]	32005	float32	4.34.0	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	0	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,809	AntoineD/camembert_ccnet_classification_tools_fr	camembert	["CamembertForSequenceClassification"]	32005	float32	4.34.0	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	0	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,810	AntoineD/camembert_question_answering_tools_fr	camembert	["CamembertForQuestionAnswering"]	32005	float32	4.34.0	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	5	6	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,811	AntoineD/camembert_squadFR_question_answering_tools_fr	camembert	["CamembertForQuestionAnswering"]	32005	float32	4.34.0	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	5	6	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,812	AntoineGourru/Drome_2_2e5	mistral	["MistralForCausalLM"]	32000	float32	4.35.2	4,096	14,336	32	32	8	silu	0	False	32,768	1,000,000	0.00001	0.02	1	2	false	128	4	false	null	null	false	false	false	false	false	false	true	false	true	true	6.442451	medium	very_long
3,813	AntoineGourru/Enccr_balanced	roberta	["RobertaForSequenceClassification"]	32768	float32	4.42.4	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	0	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,814	AntoineGourru/Mistral_drome_full	mistral	["MistralForCausalLM"]	32000	bfloat16	4.38.0.dev0	4,096	14,336	32	32	8	silu	0	True	32,768	10,000	0.00001	0.02	1	2	false	128	4	false	null	null	false	false	false	false	false	false	true	false	true	true	6.442451	medium	very_long
3,815	AntoineGourru/f_x	bert	["BertForSequenceClassification"]	30522	float32	4.51.3	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,816	AntoineGourru/g_x_new	bert	["BertForSequenceClassification"]	30522	float32	4.51.3	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,817	AntoineSchutz/BestMCQA	llama	["LlamaForCausalLM"]	32000	float32	4.40.2	2,048	5,632	22	32	4	silu	0	True	2,048	10,000	0.00001	0.02	1	2	false	64	8	false	null	null	true	false	false	false	false	false	false	false	true	true	1.107296	medium	medium
3,818	Antoinegg1/Llama-2-13b-hf_0.25	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,819	Antoinegg1/Llama-2-13b-hf_0.25to0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,820	Antoinegg1/Llama-2-13b-hf_0.25to0.75	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,821	Antoinegg1/Llama-2-13b-hf_0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,822	Antoinegg1/Llama-2-13b-hf_0.5to0.25	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,823	Antoinegg1/Llama-2-13b-hf_0.5to0.75	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,824	Antoinegg1/Llama-2-13b-hf_0.75to0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,825	Antoinegg1/Meta-Llama-3-8B_0.25	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,826	Antoinegg1/Meta-Llama-3-8B_0.25to0.75	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,827	Antoinegg1/Meta-Llama-3-8B_0.5	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,828	Antoinegg1/Meta-Llama-3-8B_0.5to0.25	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,829	Antoinegg1/Meta-Llama-3-8B_0.75	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,830	Antoinegg1/Meta-Llama-3-8B_0.75to0.25	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,831	Antoinegg1/PM-14B-10k	qwen2	["Qwen2ForCausalLM"]	151646	float16	4.40.0	5,120	13,696	40	40	40	silu	0	True	32,768	1,000,000	0.000001	0.02	128245	151643	false	128	1	false	null	null	false	false	false	false	false	false	false	false	false	true	12.582912	large	very_long
3,832	Antoinegg1/llama-2-13b_truthful_0.25	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,833	Antoinegg1/llama-2-13b_truthful_0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,834	Antoinegg1/llama-2-13b_truthful_0.5to0.25_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,835	Antoinegg1/llama-2-13b_truthful_0.5to0.75_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	5,120	13,824	40	40	40	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	12.582912	large	medium
3,836	Antoinegg1/llama-2-7b-0.25	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,837	Antoinegg1/llama-2-7b-0.25to0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,838	Antoinegg1/llama-2-7b-0.25to0.75	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,839	Antoinegg1/llama-2-7b-0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,840	Antoinegg1/llama-2-7b-0.5to0.25	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,841	Antoinegg1/llama-2-7b-0.5to0.75	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,842	Antoinegg1/llama-2-7b-0.75	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,843	Antoinegg1/llama-2-7b-0.75to0.5	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,844	Antoinegg1/llama-2-7b_safe_0.25to0.5_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,845	Antoinegg1/llama-2-7b_safe_0.25to0.75_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,846	Antoinegg1/llama-2-7b_safe_0.5to0.25_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,847	Antoinegg1/llama-2-7b_safe_0.75to0.25_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,848	Antoinegg1/llama-2-7b_truthful_0.25to0.5_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,849	Antoinegg1/llama-2-7b_truthful_0.5to0.75_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,850	Antoinegg1/llama-2-7b_truthful_0.75	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,851	Antoinegg1/llama-2-7b_truthful_0.75to0.5_1	llama	["LlamaForCausalLM"]	32001	float16	4.40.0	4,096	11,008	32	32	32	silu	0	True	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,852	Antoinegg1/llama-3-8b_safe_0.5	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,853	Antoinegg1/llama-3-8b_safe_0.75	llama	["LlamaForCausalLM"]	128258	float16	4.40.0	4,096	14,336	32	32	8	silu	0	True	8,192	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	long
3,854	AntonAndreenko/gemma-3-1B-it-ot_expert	gemma3_text	["Gemma3ForCausalLM"]	262144	bfloat16	4.50.0.dev0	1,152	6,912	26	4	1	null	0	True	32,768	1,000,000	0.000001	0.02	2	[1, 106]	null	288	4	false	null	null	false	false	false	false	false	false	false	false	true	true	0.414056	small	very_long
3,855	AntonKorznikov/facebook-opt-350m-SFT-korz14	opt	["OPTForCausalLM"]	50272	float16	4.31.0	1,024	null	24	16	null	null	0	True	2,048	null	null	null	2	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.30199	small	medium
3,856	AntonLu/Pyramids	null	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	null
3,857	AntonShchur/llama3.1-8B-math-3000-v3-gguf	llama	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	true	false	false	false	false	false	false	false	false	false	null	null	null
3,858	AntonV/mamba2-2.7b-hf	mamba2	[]	50288	null	4.46.0.dev0	2,560	null	64	null	null	silu	null	True	null	null	null	0.1	0	0	true	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	5.033165	medium	null
3,859	AntonVoronko/poca-SoccerTwos	null	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	null
3,860	AntonVoronko/ppo-Huggy	null	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	null
3,861	AntonXue/codebert-base	roberta	["RobertaForCausalLM"]	50265	float32	4.38.2	768	3,072	12	12	null	gelu	null	True	514	null	null	0.02	0	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,862	Antonello003/ppo-LunarLander-v2	null	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	null
3,863	Antonio06188/MCQA-SciQ	t5	["T5ForConditionalGeneration"]	32128	float32	4.41.2	null	null	null	null	null	null	null	True	null	null	null	null	null	1	false	null	null	false	null	null	false	false	false	true	false	false	false	false	false	false	null	null	null
3,864	Antonio49/Personal	bert	["BertForQuestionAnswering"]	31002	float32	4.38.2	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,865	Antonio88/TaliML-PHI3-128K-ITA-V.1.0.FINAL	phi3	["Phi3ForCausalLM"]	32064	bfloat16	4.41.0.dev0	3,072	8,192	32	32	32	silu	0	False	131,072	10,000	0.00001	0.02	1	32000	false	96	1	false	null	null	false	false	false	false	false	false	false	false	false	true	3.623879	medium	very_long
3,866	AntonioGSC/bert-hate-speech-test	bert	["BertForSequenceClassification"]	30522	float32	4.50.3	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,867	AntonioTH/Layout-finetuned-fr-model-100instancesV1	layoutlmv2	["LayoutLMv2ForQuestionAnswering"]	250002	float32	4.38.2	768	3,072	12	12	null	gelu	null	null	514	null	null	0.02	0	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.084935	small	short
3,868	AntonioTH/Layout-finetuned-fr-model-300instances100-4epochs-5e5lr-V2	layoutlmv2	["LayoutLMv2ForQuestionAnswering"]	250002	float32	4.48.0	768	3,072	12	12	null	gelu	null	null	514	null	null	0.02	0	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.084935	small	short
3,869	AntonioTH/Layout-finetuned-fr-model-50instances20-100epochs-5e-05lr-V2	layoutlmv2	["LayoutLMv2ForQuestionAnswering"]	250002	float32	4.48.0	768	3,072	12	12	null	gelu	null	null	514	null	null	0.02	0	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.084935	small	short
3,870	AntonioZhang/Candy_detector	detr	["DetrForObjectDetection"]	null	float32	4.35.0	null	null	6	null	null	null	0	null	1,024	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	short
3,871	Antont2024/DeepSeek-R1-Fine-tuned-Sales-KPI	llama	["LlamaForCausalLM"]	128256	float16	4.47.1	4,096	14,336	32	32	8	silu	0	True	131,072	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	very_long
3,872	Anu99/gpt2-poem-generator-new	gpt_neo	["GPTNeoForCausalLM"]	50259	float32	4.42.4	768	null	null	null	null	null	0	True	2,048	null	null	0.02	50256	50256	null	null	null	false	null	null	false	false	true	false	false	false	false	false	false	false	null	null	medium
3,873	Anu99/poem-generator	gpt_neo	["GPTNeoForCausalLM"]	50259	float32	4.41.2	768	null	null	null	null	null	0	True	2,048	null	null	0.02	50256	50256	null	null	null	false	null	null	false	false	true	false	false	false	false	false	false	false	null	null	medium
3,874	AnuAna14/BRAG-Llama-3.1-8b-v0.1-Q4_0-GGUF	llama	["LlamaForCausalLM"]	128256	bfloat16	4.43.1	4,096	14,336	32	32	8	silu	0	False	131,072	500,000	0.00001	0.02	128000	128009	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	very_long
3,875	Anubhav-tripathi/ppo-LunarLander-v2	null	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	null
3,876	Anudev08/model_3	gpt2	["GPT2ForSequenceClassification"]	50257	float32	4.15.0	null	null	null	null	null	null	null	True	null	null	null	0.02	50256	50256	null	null	null	false	null	null	false	false	true	false	false	false	false	false	false	false	null	null	null
3,877	Anujgr8/Whisper-Anuj-Medum-Marathi	whisper	["WhisperForConditionalGeneration"]	51865	float32	4.41.2	null	null	24	null	null	null	0	True	null	null	null	null	50257	50257	null	null	null	false	null	null	false	false	false	false	true	false	false	false	false	false	null	null	null
3,878	Anujgr8/Whisper-Anuj-Medum-Medium-lalo	whisper	["WhisperForConditionalGeneration"]	51865	float32	4.42.3	null	null	24	null	null	null	0	True	null	null	null	null	50257	50257	null	null	null	false	null	null	false	false	false	false	true	false	false	false	false	false	null	null	null
3,879	Anujgr8/Whisper-Anuj-small-Tamil	whisper	["WhisperForConditionalGeneration"]	51865	float32	4.41.2	null	null	12	null	null	null	0	True	null	null	null	null	50257	50257	null	null	null	false	null	null	false	false	false	false	true	false	false	false	false	false	null	null	null
3,880	Anujgr8/w2v-bert-malawi	wav2vec2-bert	["Wav2Vec2BertForCTC"]	73	float32	4.48.3	1,024	4,096	24	16	null	swish	0	null	null	null	null	0.02	1	2	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.30199	small	null
3,881	Anujgr8/wav2vec2-Odia-large-xlsr53	wav2vec2	["Wav2Vec2ForCTC"]	71	float32	4.41.2	1,024	4,096	24	16	null	gelu	0	null	null	null	null	0.02	1	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.30199	small	null
3,882	Anujgr8/wav2vec2-base-Malawi-small	wav2vec2	["Wav2Vec2ForCTC"]	75	float32	4.44.2	768	3,072	12	12	null	gelu	0	null	null	null	null	0.02	1	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.084935	small	null
3,883	Anujgr8/wav2vec2-base-Tamil-large	wav2vec2	["Wav2Vec2ForCTC"]	58	float32	4.41.2	768	3,072	12	12	null	gelu	0	null	null	null	null	0.02	1	2	null	64	null	false	null	null	false	false	false	false	false	false	false	false	false	false	0.084935	small	null
3,884	Anukriti13/OpenHermes-2.5-Mistral-7B-DSStackexchange-dpoV1	mistral	["MistralForCausalLM"]	32002	float16	4.39.3	4,096	14,336	32	32	8	silu	0	False	32,768	10,000	0.00001	0.02	1	32000	false	128	4	false	null	null	false	false	false	false	false	false	true	false	true	true	6.442451	medium	very_long
3,885	Anupam199949/LLama2finetunedby31	llama	["LlamaForCausalLM"]	32000	float16	4.31.0	4,096	11,008	32	32	32	silu	null	True	4,096	null	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,886	AnuradhaPoddar/seq_classification	bart	["BartForSequenceClassification"]	50265	float32	4.38.0	null	null	12	null	null	null	0	True	1,024	null	null	null	0	2	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	short
3,887	Anurag-Tiwari/hindi_updated-llama-model	llama	["LlamaForCausalLM"]	172432	float16	4.44.2	4,096	14,336	32	32	8	silu	0	True	131,072	500,000	0.00001	0.02	128000	[128001, 128008, 128009]	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	very_long
3,888	Anurag-Tiwari/hindi_updated-llama-tokenizer	llama	["LlamaForCausalLM"]	128256	bfloat16	4.43.0.dev0	4,096	14,336	32	32	8	silu	0	True	131,072	500,000	0.00001	0.02	128000	128001	false	128	4	false	null	null	true	false	false	false	false	false	false	false	true	true	6.442451	medium	very_long
3,889	Anurag0961/try-out-model-amc1	distilbert	["DistilBertForSequenceClassification"]	30522	float32	4.26.0	null	null	null	null	null	null	0.1	null	512	null	null	0.02	null	null	null	null	null	false	null	null	false	true	false	false	false	false	false	false	false	false	null	null	short
3,890	AnuragVohra/testTinyLlama	llama	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	true	false	false	false	false	false	false	false	false	false	null	null	null
3,891	Anuragdhirubhai/my_awesome_qa_model	distilbert	["DistilBertForQuestionAnswering"]	30522	null	4.29.2	null	null	null	null	null	null	0.1	null	512	null	null	0.02	null	null	null	null	null	false	null	null	false	true	false	false	false	false	false	false	false	false	null	null	short
3,892	Anusha64/mistral-7b-v0.2-mar27-v0	mistral	["MistralForCausalLM"]	32000	float16	4.38.2	4,096	14,336	32	32	8	silu	0	True	32,768	1,000,000	0.00001	0.02	1	2	false	128	4	false	null	null	false	false	false	false	false	false	true	false	true	true	6.442451	medium	very_long
3,893	AnushaPalle/my_awesome_open_llama_3b_clm-model	llama	["LlamaForCausalLM"]	32000	float16	4.31.0	3,200	8,640	26	32	32	silu	null	True	2,048	null	0.000001	0.02	1	2	false	100	1	false	null	null	true	false	false	false	false	false	false	false	false	true	3.19488	medium	medium
3,894	Anushka-103/llama-2-7b-ilm	llama	["LlamaForCausalLM"]	32000	float16	4.31.0	4,096	11,008	32	32	32	silu	null	True	4,096	null	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,895	Anushka-103/llama-2-7b-ilm-kan	llama	["LlamaForCausalLM"]	49600	float16	4.31.0	4,096	11,008	32	32	32	silu	0	False	4,096	10,000	0.00001	0.02	1	2	false	128	1	false	null	null	true	false	false	false	false	false	false	false	false	true	6.442451	medium	medium
3,896	AnveshSK/ppo-LunarLander-v2	null	[]	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	false	null	null	false	false	false	false	false	false	false	false	false	false	null	null	null
3,897	Anwaarma/Improved-Arabert-twitter-sentiment-No-dropout	bert	["BertForSequenceClassification"]	64000	float32	4.34.1	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,898	Anwaarma/Improved-Arabert-twitter-sentiment-No-dropout-Twitter	bert	["BertForSequenceClassification"]	64000	float32	4.34.1	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short
3,899	Anwaarma/Improved-Arabert-twitter-sentiment-Twitter	bert	["BertForSequenceClassification"]	64000	float32	4.34.1	768	3,072	12	12	null	gelu	null	True	512	null	null	0.02	null	null	null	64	null	false	null	null	false	true	false	false	false	false	false	false	false	false	0.084935	small	short

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