Logits
×tensorlogits
Unnormalized vocabulary scores for the token following each sequence position.
- shape
- [B batch, T positions, 163840 vocabulary]
Sources
Contextual evidence from Vocabulary projection
The output head is a separate linear projection to the vocabulary, without bias.
head · moonshotai/Kimi-K3 / modeling_kimi_linear.py
Pinned revision f831ab668142 ↗ · lines 1243–1248
Read code excerpt
def __init__(self, config):
super().__init__(config)
self.model = KimiLinearModel(config)
self.vocab_size = config.vocab_size
self.lm_head = nn.Linear(
config.hidden_size, config.vocab_size, bias=False)Contextual evidence from Vocabulary projection
The released text configuration: 93 layers of width 7,168, the lists of Kimi Delta Attention and full-attention layers, attention-residual blocks of 12 layers, one dense layer, 896 routed experts of which 16 are used, 2 shared experts, a routed-expert latent of 3,584 features, MLA ranks and head widths, the SiTU activation, vocabulary 163,840, untied output head.
config · moonshotai/Kimi-K3 / config.json
Pinned revision f831ab668142 ↗ · lines 18–254
Read code excerpt
"text_config": {
"_name_or_path": "",
"activation_situ_beta": 4.0,
"activation_situ_linear_beta": 25.0,
"add_cross_attention": false,
"architectures": [
"KimiLinearForCausalLM"
],
"attn_res_block_size": 12,… lines 27–45 omitted …
"first_k_dense_replace": 1,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"hidden_act": "situ",… lines 50–65 omitted …
"linear_attn_config": {
"full_attn_layers": [
4,
8,
12,
16,
20,
24,
28,
32,
36,
40,
44,
48,
52,
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64,
68,
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],
"gate_lower_bound": -5.0,
"head_dim": 128,
"kda_layers": [
1,
2,
3,
5,
6,
7,
9,
10,
11,
13,
14,
15,
17,
18,
19,
21,
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61,
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],
"num_heads": 96,
"short_conv_kernel_size": 4,
"use_full_rank_gate": true
},
"max_length": 20,
"max_position_embeddings": 1048576,
"min_length": 0,
"mla_use_nope": true,… lines 174–175 omitted …
"moe_intermediate_size": 3072,
"moe_layer_freq": 1,
"moe_renormalize": true,
"moe_router_activation_func": "sigmoid",
"no_repeat_ngram_size": 0,
"num_attention_heads": 96,
"num_beam_groups": 1,
"num_beams": 1,
"num_expert_group": 1,
"num_experts": 896,
"num_experts_per_token": 16,
"num_hidden_layers": 93,
"num_key_value_heads": 96,
"num_nextn_predict_layers": 0,
"num_return_sequences": 1,
"num_shared_experts": 2,
"output_attentions": false,
"output_hidden_states": false,
"output_scores": false,
"pad_token_id": 163839,
"prefix": null,
"problem_type": null,
"pruned_heads": {},
"q_lora_rank": 1536,
"qk_nope_head_dim": 128,
"qk_rope_head_dim": 64,… lines 202–245 omitted …
"routed_expert_hidden_size": 3584,
"routed_scaling_factor": 1.0,
"sep_token_id": null,
"suppress_tokens": null,
"task_specific_params": null,
"temperature": 1.0,
"tf_legacy_loss": false,
"tie_encoder_decoder": false,
"tie_word_embeddings": false,