Models
GitHub
Discord
Turbo
Sign in
Download
Models
Download
GitHub
Discord
Sign in
takenusername
/
tinyllm
:latest
44
Downloads
Updated
8 months ago
Should be the fastest and smartest llm for the raspberry pi 4b, 5, and newer models if any
Should be the fastest and smartest llm for the raspberry pi 4b, 5, and newer models if any
Cancel
tinyllm:latest
...
/
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]