Baihu-V1-GGUF / benchmarks /summary.json
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{
"benchmark": "Baihu-V1 vs google/gemma-4-E2B-it",
"hardware": "1x NVIDIA GeForce RTX 4090 D (24 GB), driver 580.119.02",
"held_out_transfer_hf_bf16": {
"label": "321 held-out conversations, HF bf16 checkpoints",
"gemma_4_e2b_it_base": {
"n": 321,
"rouge_l": 0.2359,
"plain_text_rate": 0.0156,
"reply_len_ratio": 3.8645,
"num_recall": 0.5795,
"num_recall_n": 240,
"reply_chars": 432.3,
"gen_seconds": 203.9
},
"baihu_v1": {
"n": 321,
"rouge_l": 0.4321,
"plain_text_rate": 1.0,
"reply_len_ratio": 0.9678,
"num_recall": 0.5282,
"num_recall_n": 240,
"reply_chars": 113.7,
"gen_seconds": 81.7
}
},
"held_out_transfer_gguf_q4_k_m": {
"label": "321 held-out conversations, published Q4_K_M GGUFs",
"gemma_4_e2b_it_base": {
"n": 321,
"rouge_l": 0.2345,
"plain_text_rate": 0.0125,
"reply_len_ratio": 3.8524,
"num_recall": 0.57,
"num_recall_n": 240,
"reply_chars": 432.2,
"gen_seconds": 192.1
},
"baihu_v1": {
"n": 321,
"rouge_l": 0.4194,
"plain_text_rate": 1.0,
"reply_len_ratio": 0.9592,
"num_recall": 0.5121,
"num_recall_n": 240,
"reply_chars": 113.9,
"gen_seconds": 62.1
}
},
"held_out_perplexity_q4_k_m": {
"corpus": "321 held-out conversations, 60 x 2048-token chunks (llama-perplexity)",
"gemma_4_e2b_it_q4_k_m": 13.7372,
"baihu_v1_q4_k_m": 5.2833,
"note": "llama-perplexity reports a standard error of +/-0.26 / +/-0.07"
},
"mmlu_5shot": {
"n": 500,
"n_shot": 5,
"gemma_4_e2b_it": 0.534,
"baihu_v1": 0.526,
"delta": -0.008,
"by_subject": {
"astronomy": {
"base": 0.54,
"baihu_v1": 0.52
},
"computer_security": {
"base": 0.44,
"baihu_v1": 0.5
},
"elementary_mathematics": {
"base": 0.48,
"baihu_v1": 0.48
},
"formal_logic": {
"base": 0.58,
"baihu_v1": 0.6
},
"high_school_biology": {
"base": 0.54,
"baihu_v1": 0.54
},
"high_school_mathematics": {
"base": 0.44,
"baihu_v1": 0.4
},
"high_school_physics": {
"base": 0.38,
"baihu_v1": 0.48
},
"high_school_world_history": {
"base": 0.64,
"baihu_v1": 0.64
},
"logical_fallacies": {
"base": 0.64,
"baihu_v1": 0.54
},
"world_religions": {
"base": 0.66,
"baihu_v1": 0.56
}
}
},
"llama_bench": [
{
"model": "gemma-4-E2B-it-Q4_K_M",
"n_prompt": 512,
"n_gen": 0,
"avg_ts": 15094.8,
"stddev_ts": 2731.5,
"backends": "CUDA",
"gpu": "NVIDIA GeForce RTX 4090 D",
"n_gpu_layers": 99
},
{
"model": "gemma-4-E2B-it-Q4_K_M",
"n_prompt": 0,
"n_gen": 128,
"avg_ts": 307.8,
"stddev_ts": 1.7,
"backends": "CUDA",
"gpu": "NVIDIA GeForce RTX 4090 D",
"n_gpu_layers": 99
},
{
"model": "Baihu-V1-Q4_K_M",
"n_prompt": 512,
"n_gen": 0,
"avg_ts": 15643.3,
"stddev_ts": 2944.9,
"backends": "CUDA",
"gpu": "NVIDIA GeForce RTX 4090 D",
"n_gpu_layers": 99
},
{
"model": "Baihu-V1-Q4_K_M",
"n_prompt": 0,
"n_gen": 128,
"avg_ts": 307.1,
"stddev_ts": 3.0,
"backends": "CUDA",
"gpu": "NVIDIA GeForce RTX 4090 D",
"n_gpu_layers": 99
}
],
"training": {
"base_model": "google/gemma-4-E2B-it",
"method": "LoRA r=16 alpha=32 dropout=0.05 on language_model q/k/v/o/gate/up/down",
"trainable_params": 24158208,
"total_params": 5128455712,
"train_conversations": 973,
"val_conversations": 321,
"epochs": 3,
"optimiser_steps": 183,
"batch": "4 x grad_accum 4",
"learning_rate": 0.0002,
"max_seq_len": 768,
"precision": "bf16",
"wall_time_minutes": 6.17,
"train_loss": 1.165,
"eval_loss": 1.536,
"seed": 20260930
}
}