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tinyllama
:1.1b
2.6M
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Updated
1 year ago
The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.
The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.
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1.1b
tinyllama:1.1b
...
/
model
2af3b81862c6 · 638MB
Metadata
general.architecture
llama
llama
general.file_type
Q4_0
Q4_0
llama.attention.head_count
32
32
llama.attention.head_count_kv
4
4
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
22
22
llama.context_length
2048
2048
llama.embedding_length
2048
2048
llama.feed_forward_length
5632
5632
llama.rope.dimension_count
64
64
llama.rope.freq_base
10000
10000
tokenizer.ggml.bos_token_id
1
1
tokenizer.ggml.eos_token_id
2
2
tokenizer.ggml.merges
[▁ t, e r, i n, ▁ a, e n, ...]
[▁ t, e r, i n, ▁ a, e n, ...]
tokenizer.ggml.model
llama
llama
tokenizer.ggml.padding_token_id
2
2
tokenizer.ggml.scores
[0, 0, 0, 0, 0, ...]
[0, 0, 0, 0, 0, ...]
tokenizer.ggml.token_type
[2, 3, 3, 6, 6, ...]
[2, 3, 3, 6, 6, ...]
tokenizer.ggml.tokens
[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
tokenizer.ggml.unknown_token_id
0
0
Tensor
Name
Type
Shape
token_embd.weight
Q4_0
Q4_0
[2048, 32000]
blk.0
blk.0.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.0.attn_norm.weight
F32
F32
[2048]
blk.0.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.0.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.0.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.0.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.0.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.0.ffn_norm.weight
F32
F32
[2048]
blk.0.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.1
blk.1.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.1.attn_norm.weight
F32
F32
[2048]
blk.1.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.1.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.1.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.1.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.1.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.1.ffn_norm.weight
F32
F32
[2048]
blk.1.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.2
blk.2.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.2.attn_norm.weight
F32
F32
[2048]
blk.2.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.2.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.2.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.2.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.2.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.2.ffn_norm.weight
F32
F32
[2048]
blk.2.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.3
blk.3.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.3.attn_norm.weight
F32
F32
[2048]
blk.3.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.3.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.3.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.3.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.3.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.3.ffn_norm.weight
F32
F32
[2048]
blk.3.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.4
blk.4.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.4.attn_norm.weight
F32
F32
[2048]
blk.4.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.4.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.4.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.4.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.4.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.4.ffn_norm.weight
F32
F32
[2048]
blk.4.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.5
blk.5.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.5.attn_norm.weight
F32
F32
[2048]
blk.5.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.5.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.5.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.5.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.5.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.5.ffn_norm.weight
F32
F32
[2048]
blk.5.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.6
blk.6.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.6.attn_norm.weight
F32
F32
[2048]
blk.6.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.6.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.6.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.6.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.6.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.6.ffn_norm.weight
F32
F32
[2048]
blk.6.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.7
blk.7.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.7.attn_norm.weight
F32
F32
[2048]
blk.7.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.7.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.7.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.7.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.7.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.7.ffn_norm.weight
F32
F32
[2048]
blk.7.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.8
blk.8.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.8.attn_norm.weight
F32
F32
[2048]
blk.8.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.8.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.8.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.8.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.8.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.8.ffn_norm.weight
F32
F32
[2048]
blk.8.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.9
blk.9.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.9.attn_norm.weight
F32
F32
[2048]
blk.9.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.9.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.9.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.9.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.9.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.9.ffn_norm.weight
F32
F32
[2048]
blk.9.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.10
blk.10.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.10.attn_norm.weight
F32
F32
[2048]
blk.10.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.10.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.10.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.10.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.10.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.10.ffn_norm.weight
F32
F32
[2048]
blk.10.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.11
blk.11.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.11.attn_norm.weight
F32
F32
[2048]
blk.11.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.11.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.11.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.11.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.11.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.11.ffn_norm.weight
F32
F32
[2048]
blk.11.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.12
blk.12.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.12.attn_norm.weight
F32
F32
[2048]
blk.12.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.12.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.12.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.12.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.12.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.12.ffn_norm.weight
F32
F32
[2048]
blk.12.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.13
blk.13.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.13.attn_norm.weight
F32
F32
[2048]
blk.13.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.13.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.13.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.13.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.13.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.13.ffn_norm.weight
F32
F32
[2048]
blk.13.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.14
blk.14.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.14.attn_norm.weight
F32
F32
[2048]
blk.14.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.14.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.14.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.14.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.14.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.14.ffn_norm.weight
F32
F32
[2048]
blk.14.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.15
blk.15.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.15.attn_norm.weight
F32
F32
[2048]
blk.15.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.15.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.15.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.15.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.15.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.15.ffn_norm.weight
F32
F32
[2048]
blk.15.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.16
blk.16.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.16.attn_norm.weight
F32
F32
[2048]
blk.16.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.16.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.16.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.16.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.16.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.16.ffn_norm.weight
F32
F32
[2048]
blk.16.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.17
blk.17.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.17.attn_norm.weight
F32
F32
[2048]
blk.17.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.17.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.17.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.17.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.17.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.17.ffn_norm.weight
F32
F32
[2048]
blk.17.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.18
blk.18.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.18.attn_norm.weight
F32
F32
[2048]
blk.18.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.18.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.18.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.18.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.18.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.18.ffn_norm.weight
F32
F32
[2048]
blk.18.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.19
blk.19.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.19.attn_norm.weight
F32
F32
[2048]
blk.19.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.19.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.19.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.19.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.19.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.19.ffn_norm.weight
F32
F32
[2048]
blk.19.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.20
blk.20.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.20.attn_norm.weight
F32
F32
[2048]
blk.20.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.20.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.20.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.20.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.20.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.20.ffn_norm.weight
F32
F32
[2048]
blk.20.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
blk.21
blk.21.attn_k.weight
Q4_0
Q4_0
[2048, 256]
blk.21.attn_norm.weight
F32
F32
[2048]
blk.21.attn_output.weight
Q4_0
Q4_0
[2048, 2048]
blk.21.attn_q.weight
Q4_0
Q4_0
[2048, 2048]
blk.21.attn_v.weight
Q4_0
Q4_0
[2048, 256]
blk.21.ffn_down.weight
Q4_0
Q4_0
[5632, 2048]
blk.21.ffn_gate.weight
Q4_0
Q4_0
[2048, 5632]
blk.21.ffn_norm.weight
F32
F32
[2048]
blk.21.ffn_up.weight
Q4_0
Q4_0
[2048, 5632]
output.weight
Q6_K
Q6_K
[2048, 32000]
output_norm.weight
F32
F32
[2048]