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JXW67
/
TGAI_NB
:0.86b
21
Downloads
Updated
1 week ago
TGAI NB — a lightweight Chinese MoE chat model family, built end-to-end by a high school student. V2 (3B): 8-expert sparse MoE, better quality for desktop. V1 (0.86B): 4-expert sparse MoE, ultra-light, smooth on low-end devices.
TGAI NB — a lightweight Chinese MoE chat model family, built end-to-end by a high school student. V2 (3B): 8-expert sparse MoE, better quality for desktop. V1 (0.86B): 4-expert sparse MoE, ultra-light, smooth on low-end devices.
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0.86b
3b
TGAI_NB:0.86b
...
/
model
8f42636ebf6c · 1.7GB
Metadata
general.architecture
llama
llama
general.file_type
F16
F16
llama.attention.head_count
14
14
llama.attention.head_count_kv
14
14
llama.attention.layer_norm_rms_epsilon
1e-06
1e-06
llama.block_count
20
20
llama.context_length
512
512
llama.embedding_length
896
896
llama.expert_count
4
4
llama.expert_used_count
2
2
llama.feed_forward_length
3584
3584
llama.rope.freq_base
10000
10000
llama.vocab_size
8668
8668
tokenizer.ggml.add_bos_token
true
true
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.add_space_prefix
false
false
tokenizer.ggml.bos_token_id
2
2
tokenizer.ggml.byte_fallback
false
false
tokenizer.ggml.eos_token_id
3
3
tokenizer.ggml.merges
[]
[]
tokenizer.ggml.model
llama
llama
tokenizer.ggml.scores
[0, 0, 0, 0, 0, ...]
[0, 0, 0, 0, 0, ...]
tokenizer.ggml.tokens
[<PAD>, <UNK>, <BOS>, <EOS>, <IMG>, ...]
[<PAD>, <UNK>, <BOS>, <EOS>, <IMG>, ...]
tokenizer.ggml.unk_token_id
1
1
Tensor
Name
Type
Shape
token_embd.weight
F16
F16
[896, 8668]
blk.0
blk.0.attn_k.weight
F16
F16
[896, 896]
blk.0.attn_norm.weight
F32
F32
[896]
blk.0.attn_output.weight
F16
F16
[896, 896]
blk.0.attn_q.weight
F16
F16
[896, 896]
blk.0.attn_v.weight
F16
F16
[896, 896]
blk.0.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.0.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.0.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.0.ffn_norm.weight
F32
F32
[896]
blk.0.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.1
blk.1.attn_k.weight
F16
F16
[896, 896]
blk.1.attn_norm.weight
F32
F32
[896]
blk.1.attn_output.weight
F16
F16
[896, 896]
blk.1.attn_q.weight
F16
F16
[896, 896]
blk.1.attn_v.weight
F16
F16
[896, 896]
blk.1.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.1.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.1.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.1.ffn_norm.weight
F32
F32
[896]
blk.1.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.2
blk.2.attn_k.weight
F16
F16
[896, 896]
blk.2.attn_norm.weight
F32
F32
[896]
blk.2.attn_output.weight
F16
F16
[896, 896]
blk.2.attn_q.weight
F16
F16
[896, 896]
blk.2.attn_v.weight
F16
F16
[896, 896]
blk.2.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.2.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.2.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.2.ffn_norm.weight
F32
F32
[896]
blk.2.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.3
blk.3.attn_k.weight
F16
F16
[896, 896]
blk.3.attn_norm.weight
F32
F32
[896]
blk.3.attn_output.weight
F16
F16
[896, 896]
blk.3.attn_q.weight
F16
F16
[896, 896]
blk.3.attn_v.weight
F16
F16
[896, 896]
blk.3.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.3.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.3.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.3.ffn_norm.weight
F32
F32
[896]
blk.3.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.4
blk.4.attn_k.weight
F16
F16
[896, 896]
blk.4.attn_norm.weight
F32
F32
[896]
blk.4.attn_output.weight
F16
F16
[896, 896]
blk.4.attn_q.weight
F16
F16
[896, 896]
blk.4.attn_v.weight
F16
F16
[896, 896]
blk.4.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.4.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.4.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.4.ffn_norm.weight
F32
F32
[896]
blk.4.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.5
blk.5.attn_k.weight
F16
F16
[896, 896]
blk.5.attn_norm.weight
F32
F32
[896]
blk.5.attn_output.weight
F16
F16
[896, 896]
blk.5.attn_q.weight
F16
F16
[896, 896]
blk.5.attn_v.weight
F16
F16
[896, 896]
blk.5.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.5.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.5.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.5.ffn_norm.weight
F32
F32
[896]
blk.5.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.6
blk.6.attn_k.weight
F16
F16
[896, 896]
blk.6.attn_norm.weight
F32
F32
[896]
blk.6.attn_output.weight
F16
F16
[896, 896]
blk.6.attn_q.weight
F16
F16
[896, 896]
blk.6.attn_v.weight
F16
F16
[896, 896]
blk.6.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.6.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.6.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.6.ffn_norm.weight
F32
F32
[896]
blk.6.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.7
blk.7.attn_k.weight
F16
F16
[896, 896]
blk.7.attn_norm.weight
F32
F32
[896]
blk.7.attn_output.weight
F16
F16
[896, 896]
blk.7.attn_q.weight
F16
F16
[896, 896]
blk.7.attn_v.weight
F16
F16
[896, 896]
blk.7.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.7.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.7.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.7.ffn_norm.weight
F32
F32
[896]
blk.7.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.8
blk.8.attn_k.weight
F16
F16
[896, 896]
blk.8.attn_norm.weight
F32
F32
[896]
blk.8.attn_output.weight
F16
F16
[896, 896]
blk.8.attn_q.weight
F16
F16
[896, 896]
blk.8.attn_v.weight
F16
F16
[896, 896]
blk.8.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.8.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.8.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.8.ffn_norm.weight
F32
F32
[896]
blk.8.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.9
blk.9.attn_k.weight
F16
F16
[896, 896]
blk.9.attn_norm.weight
F32
F32
[896]
blk.9.attn_output.weight
F16
F16
[896, 896]
blk.9.attn_q.weight
F16
F16
[896, 896]
blk.9.attn_v.weight
F16
F16
[896, 896]
blk.9.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.9.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.9.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.9.ffn_norm.weight
F32
F32
[896]
blk.9.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.10
blk.10.attn_k.weight
F16
F16
[896, 896]
blk.10.attn_norm.weight
F32
F32
[896]
blk.10.attn_output.weight
F16
F16
[896, 896]
blk.10.attn_q.weight
F16
F16
[896, 896]
blk.10.attn_v.weight
F16
F16
[896, 896]
blk.10.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.10.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.10.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.10.ffn_norm.weight
F32
F32
[896]
blk.10.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.11
blk.11.attn_k.weight
F16
F16
[896, 896]
blk.11.attn_norm.weight
F32
F32
[896]
blk.11.attn_output.weight
F16
F16
[896, 896]
blk.11.attn_q.weight
F16
F16
[896, 896]
blk.11.attn_v.weight
F16
F16
[896, 896]
blk.11.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.11.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.11.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.11.ffn_norm.weight
F32
F32
[896]
blk.11.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.12
blk.12.attn_k.weight
F16
F16
[896, 896]
blk.12.attn_norm.weight
F32
F32
[896]
blk.12.attn_output.weight
F16
F16
[896, 896]
blk.12.attn_q.weight
F16
F16
[896, 896]
blk.12.attn_v.weight
F16
F16
[896, 896]
blk.12.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.12.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.12.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.12.ffn_norm.weight
F32
F32
[896]
blk.12.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.13
blk.13.attn_k.weight
F16
F16
[896, 896]
blk.13.attn_norm.weight
F32
F32
[896]
blk.13.attn_output.weight
F16
F16
[896, 896]
blk.13.attn_q.weight
F16
F16
[896, 896]
blk.13.attn_v.weight
F16
F16
[896, 896]
blk.13.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.13.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.13.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.13.ffn_norm.weight
F32
F32
[896]
blk.13.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.14
blk.14.attn_k.weight
F16
F16
[896, 896]
blk.14.attn_norm.weight
F32
F32
[896]
blk.14.attn_output.weight
F16
F16
[896, 896]
blk.14.attn_q.weight
F16
F16
[896, 896]
blk.14.attn_v.weight
F16
F16
[896, 896]
blk.14.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.14.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.14.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.14.ffn_norm.weight
F32
F32
[896]
blk.14.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.15
blk.15.attn_k.weight
F16
F16
[896, 896]
blk.15.attn_norm.weight
F32
F32
[896]
blk.15.attn_output.weight
F16
F16
[896, 896]
blk.15.attn_q.weight
F16
F16
[896, 896]
blk.15.attn_v.weight
F16
F16
[896, 896]
blk.15.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.15.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.15.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.15.ffn_norm.weight
F32
F32
[896]
blk.15.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.16
blk.16.attn_k.weight
F16
F16
[896, 896]
blk.16.attn_norm.weight
F32
F32
[896]
blk.16.attn_output.weight
F16
F16
[896, 896]
blk.16.attn_q.weight
F16
F16
[896, 896]
blk.16.attn_v.weight
F16
F16
[896, 896]
blk.16.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.16.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.16.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.16.ffn_norm.weight
F32
F32
[896]
blk.16.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.17
blk.17.attn_k.weight
F16
F16
[896, 896]
blk.17.attn_norm.weight
F32
F32
[896]
blk.17.attn_output.weight
F16
F16
[896, 896]
blk.17.attn_q.weight
F16
F16
[896, 896]
blk.17.attn_v.weight
F16
F16
[896, 896]
blk.17.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.17.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.17.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.17.ffn_norm.weight
F32
F32
[896]
blk.17.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.18
blk.18.attn_k.weight
F16
F16
[896, 896]
blk.18.attn_norm.weight
F32
F32
[896]
blk.18.attn_output.weight
F16
F16
[896, 896]
blk.18.attn_q.weight
F16
F16
[896, 896]
blk.18.attn_v.weight
F16
F16
[896, 896]
blk.18.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.18.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.18.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.18.ffn_norm.weight
F32
F32
[896]
blk.18.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
blk.19
blk.19.attn_k.weight
F16
F16
[896, 896]
blk.19.attn_norm.weight
F32
F32
[896]
blk.19.attn_output.weight
F16
F16
[896, 896]
blk.19.attn_q.weight
F16
F16
[896, 896]
blk.19.attn_v.weight
F16
F16
[896, 896]
blk.19.ffn_down_exps.weight
F16
F16
[3584, 896, 4]
blk.19.ffn_gate_exps.weight
F16
F16
[896, 3584, 4]
blk.19.ffn_gate_inp.weight
F16
F16
[896, 4]
blk.19.ffn_norm.weight
F32
F32
[896]
blk.19.ffn_up_exps.weight
F16
F16
[896, 3584, 4]
output_norm.weight
F32
F32
[896]