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MedAIBase
/
AntAngelMed
:100b
64
Downloads
Updated
2 weeks ago
AntAngelMed是由浙江省卫生健康信息中心、蚂蚁健康、浙江省安诊儿医学人工智能科技有限公司共同联合开发的,迄今为止最大且最强大的开源医疗语言模型。
AntAngelMed是由浙江省卫生健康信息中心、蚂蚁健康、浙江省安诊儿医学人工智能科技有限公司共同联合开发的,迄今为止最大且最强大的开源医疗语言模型。
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100b
AntAngelMed:100b
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/
model
59059f0b4967 · 109GB
Metadata
general.architecture
bailingmoe2
bailingmoe2
general.file_type
Q8_0
Q8_0
bailingmoe2.attention.head_count
32
32
bailingmoe2.attention.head_count_kv
4
4
bailingmoe2.attention.key_length
128
128
bailingmoe2.attention.layer_norm_rms_epsilon
1e-06
1e-06
bailingmoe2.attention.value_length
128
128
bailingmoe2.block_count
32
32
bailingmoe2.context_length
32768
32768
bailingmoe2.embedding_length
4096
4096
bailingmoe2.expert_count
256
256
bailingmoe2.expert_feed_forward_length
1024
1024
bailingmoe2.expert_gating_func
2
2
bailingmoe2.expert_group_count
8
8
bailingmoe2.expert_group_used_count
4
4
bailingmoe2.expert_shared_count
1
1
bailingmoe2.expert_shared_feed_forward_length
1024
1024
bailingmoe2.expert_used_count
8
8
bailingmoe2.expert_weights_norm
true
true
bailingmoe2.expert_weights_scale
2.5
2.5
bailingmoe2.feed_forward_length
9216
9216
bailingmoe2.leading_dense_block_count
1
1
bailingmoe2.rope.dimension_count
64
64
bailingmoe2.rope.freq_base
600000
600000
bailingmoe2.vocab_size
157184
157184
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.bos_token_id
156891
156891
tokenizer.ggml.eos_token_id
156892
156892
tokenizer.ggml.merges
[Ġ Ġ, Ġ t, i n, Ġ a, h e, ...]
[Ġ Ġ, Ġ t, i n, Ġ a, h e, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
156892
156892
tokenizer.ggml.pre
bailingmoe2
bailingmoe2
tokenizer.ggml.token_type
[1, 1, 1, 1, 1, ...]
[1, 1, 1, 1, 1, ...]
tokenizer.ggml.tokens
[!, ", #, $, %, ...]
[!, ", #, $, %, ...]
Tensor
Name
Type
Shape
token_embd.weight
Q8_0
Q8_0
[4096, 157184]
blk.0
blk.0.attn_k_norm.weight
F32
F32
[128]
blk.0.attn_norm.weight
F32
F32
[4096]
blk.0.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.0.attn_q_norm.weight
F32
F32
[128]
blk.0.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.0.ffn_down.weight
Q8_0
Q8_0
[9216, 4096]
blk.0.ffn_gate.weight
Q8_0
Q8_0
[4096, 9216]
blk.0.ffn_norm.weight
F32
F32
[4096]
blk.0.ffn_up.weight
Q8_0
Q8_0
[4096, 9216]
blk.1
blk.1.attn_k_norm.weight
F32
F32
[128]
blk.1.attn_norm.weight
F32
F32
[4096]
blk.1.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.1.attn_q_norm.weight
F32
F32
[128]
blk.1.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.1.exp_probs_b.bias
F32
F32
[256]
blk.1.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.1.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.1.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.1.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.1.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.1.ffn_norm.weight
F32
F32
[4096]
blk.1.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.1.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.2
blk.2.attn_k_norm.weight
F32
F32
[128]
blk.2.attn_norm.weight
F32
F32
[4096]
blk.2.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.2.attn_q_norm.weight
F32
F32
[128]
blk.2.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.2.exp_probs_b.bias
F32
F32
[256]
blk.2.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.2.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.2.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.2.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.2.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.2.ffn_norm.weight
F32
F32
[4096]
blk.2.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.2.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.3
blk.3.attn_k_norm.weight
F32
F32
[128]
blk.3.attn_norm.weight
F32
F32
[4096]
blk.3.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.3.attn_q_norm.weight
F32
F32
[128]
blk.3.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.3.exp_probs_b.bias
F32
F32
[256]
blk.3.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.3.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.3.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.3.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.3.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.3.ffn_norm.weight
F32
F32
[4096]
blk.3.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.3.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.4
blk.4.attn_k_norm.weight
F32
F32
[128]
blk.4.attn_norm.weight
F32
F32
[4096]
blk.4.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.4.attn_q_norm.weight
F32
F32
[128]
blk.4.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.4.exp_probs_b.bias
F32
F32
[256]
blk.4.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.4.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.4.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.4.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.4.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.4.ffn_norm.weight
F32
F32
[4096]
blk.4.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.4.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.5
blk.5.attn_k_norm.weight
F32
F32
[128]
blk.5.attn_norm.weight
F32
F32
[4096]
blk.5.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.5.attn_q_norm.weight
F32
F32
[128]
blk.5.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.5.exp_probs_b.bias
F32
F32
[256]
blk.5.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.5.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.5.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.5.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.5.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.5.ffn_norm.weight
F32
F32
[4096]
blk.5.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.5.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.6
blk.6.attn_k_norm.weight
F32
F32
[128]
blk.6.attn_norm.weight
F32
F32
[4096]
blk.6.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.6.attn_q_norm.weight
F32
F32
[128]
blk.6.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.6.exp_probs_b.bias
F32
F32
[256]
blk.6.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.6.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.6.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.6.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.6.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.6.ffn_norm.weight
F32
F32
[4096]
blk.6.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.6.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.7
blk.7.attn_k_norm.weight
F32
F32
[128]
blk.7.attn_norm.weight
F32
F32
[4096]
blk.7.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.7.attn_q_norm.weight
F32
F32
[128]
blk.7.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.7.exp_probs_b.bias
F32
F32
[256]
blk.7.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.7.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.7.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.7.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.7.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.7.ffn_norm.weight
F32
F32
[4096]
blk.7.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.7.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.8
blk.8.attn_k_norm.weight
F32
F32
[128]
blk.8.attn_norm.weight
F32
F32
[4096]
blk.8.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.8.attn_q_norm.weight
F32
F32
[128]
blk.8.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.8.exp_probs_b.bias
F32
F32
[256]
blk.8.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.8.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.8.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.8.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.8.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.8.ffn_norm.weight
F32
F32
[4096]
blk.8.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.8.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.9
blk.9.attn_k_norm.weight
F32
F32
[128]
blk.9.attn_norm.weight
F32
F32
[4096]
blk.9.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.9.attn_q_norm.weight
F32
F32
[128]
blk.9.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.9.exp_probs_b.bias
F32
F32
[256]
blk.9.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.9.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.9.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.9.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.9.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.9.ffn_norm.weight
F32
F32
[4096]
blk.9.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.9.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.10
blk.10.attn_k_norm.weight
F32
F32
[128]
blk.10.attn_norm.weight
F32
F32
[4096]
blk.10.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.10.attn_q_norm.weight
F32
F32
[128]
blk.10.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.10.exp_probs_b.bias
F32
F32
[256]
blk.10.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.10.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.10.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.10.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.10.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.10.ffn_norm.weight
F32
F32
[4096]
blk.10.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.10.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.11
blk.11.attn_k_norm.weight
F32
F32
[128]
blk.11.attn_norm.weight
F32
F32
[4096]
blk.11.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.11.attn_q_norm.weight
F32
F32
[128]
blk.11.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.11.exp_probs_b.bias
F32
F32
[256]
blk.11.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.11.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.11.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.11.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.11.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.11.ffn_norm.weight
F32
F32
[4096]
blk.11.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.11.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.12
blk.12.attn_k_norm.weight
F32
F32
[128]
blk.12.attn_norm.weight
F32
F32
[4096]
blk.12.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.12.attn_q_norm.weight
F32
F32
[128]
blk.12.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.12.exp_probs_b.bias
F32
F32
[256]
blk.12.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.12.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.12.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.12.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.12.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.12.ffn_norm.weight
F32
F32
[4096]
blk.12.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.12.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.13
blk.13.attn_k_norm.weight
F32
F32
[128]
blk.13.attn_norm.weight
F32
F32
[4096]
blk.13.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.13.attn_q_norm.weight
F32
F32
[128]
blk.13.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.13.exp_probs_b.bias
F32
F32
[256]
blk.13.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.13.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.13.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.13.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.13.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.13.ffn_norm.weight
F32
F32
[4096]
blk.13.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.13.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.14
blk.14.attn_k_norm.weight
F32
F32
[128]
blk.14.attn_norm.weight
F32
F32
[4096]
blk.14.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.14.attn_q_norm.weight
F32
F32
[128]
blk.14.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.14.exp_probs_b.bias
F32
F32
[256]
blk.14.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.14.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.14.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.14.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.14.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.14.ffn_norm.weight
F32
F32
[4096]
blk.14.ffn_up_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.14.ffn_up_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.15
blk.15.attn_k_norm.weight
F32
F32
[128]
blk.15.attn_norm.weight
F32
F32
[4096]
blk.15.attn_output.weight
Q8_0
Q8_0
[4096, 4096]
blk.15.attn_q_norm.weight
F32
F32
[128]
blk.15.attn_qkv.weight
Q8_0
Q8_0
[4096, 5120]
blk.15.exp_probs_b.bias
F32
F32
[256]
blk.15.ffn_down_exps.weight
Q8_0
Q8_0
[1024, 4096, 256]
blk.15.ffn_down_shexp.weight
Q8_0
Q8_0
[1024, 4096]
blk.15.ffn_gate_exps.weight
Q8_0
Q8_0
[4096, 1024, 256]
blk.15.ffn_gate_inp.weight
F32
F32
[4096, 256]
blk.15.ffn_gate_shexp.weight
Q8_0
Q8_0
[4096, 1024]
blk.15.ffn_norm.weight
F32
F32
[4096]
blk.15.ffn_up_exps.weight
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