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Alieno
/
ailo-152m-events-it
:q4_k_m
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2 days ago
AILO-152M-Events-IT Linguaggio naturale italiano → evento JSON 🇮🇹⚡
AILO-152M-Events-IT Linguaggio naturale italiano → evento JSON 🇮🇹⚡
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tools
thinking
152m
ailo-152m-events-it:q4_k_m
...
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model
9272e8ceeb74 · 102MB
Metadata
general.architecture
llama
llama
general.file_type
Q4_K_M
Q4_K_M
llama.attention.head_count
12
12
llama.attention.head_count_kv
12
12
llama.attention.layer_norm_rms_epsilon
1e-05
1e-05
llama.block_count
12
12
llama.context_length
512
512
llama.embedding_length
768
768
llama.feed_forward_length
3072
3072
llama.rope.dimension_count
64
64
llama.rope.freq_base
10000
10000
llama.tensor_data_layout
Meta AI original paged
Meta AI original paged
llama.vocab_size
50257
50257
tokenizer.ggml.add_bos_token
false
false
tokenizer.ggml.add_eos_token
false
false
tokenizer.ggml.bos_token_id
50256
50256
tokenizer.ggml.eos_token_id
50256
50256
tokenizer.ggml.merges
[Ġ t, Ġ a, h e, i n, r e, ...]
[Ġ t, Ġ a, h e, i n, r e, ...]
tokenizer.ggml.model
gpt2
gpt2
tokenizer.ggml.padding_token_id
50256
50256
tokenizer.ggml.token_type
[1, 1, 1, 1, 1, ...]
[1, 1, 1, 1, 1, ...]
tokenizer.ggml.tokens
[!, ", #, $, %, ...]
[!, ", #, $, %, ...]
Tensor
Name
Type
Shape
token_embd.weight
Q6_K
Q6_K
[768, 50257]
blk.0
blk.0.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.0.attn_norm.weight
F32
F32
[768]
blk.0.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.0.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.0.attn_v.weight
Q6_K
Q6_K
[768, 768]
blk.0.ffn_down.weight
Q6_K
Q6_K
[3072, 768]
blk.0.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.0.ffn_norm.weight
F32
F32
[768]
blk.0.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.1
blk.1.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.1.attn_norm.weight
F32
F32
[768]
blk.1.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.1.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.1.attn_v.weight
Q4_K
Q4_K
[768, 768]
blk.1.ffn_down.weight
Q4_K
Q4_K
[3072, 768]
blk.1.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.1.ffn_norm.weight
F32
F32
[768]
blk.1.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.2
blk.2.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.2.attn_norm.weight
F32
F32
[768]
blk.2.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.2.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.2.attn_v.weight
Q4_K
Q4_K
[768, 768]
blk.2.ffn_down.weight
Q4_K
Q4_K
[3072, 768]
blk.2.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.2.ffn_norm.weight
F32
F32
[768]
blk.2.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.3
blk.3.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.3.attn_norm.weight
F32
F32
[768]
blk.3.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.3.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.3.attn_v.weight
Q6_K
Q6_K
[768, 768]
blk.3.ffn_down.weight
Q6_K
Q6_K
[3072, 768]
blk.3.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.3.ffn_norm.weight
F32
F32
[768]
blk.3.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.4
blk.4.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.4.attn_norm.weight
F32
F32
[768]
blk.4.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.4.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.4.attn_v.weight
Q4_K
Q4_K
[768, 768]
blk.4.ffn_down.weight
Q4_K
Q4_K
[3072, 768]
blk.4.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.4.ffn_norm.weight
F32
F32
[768]
blk.4.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.5
blk.5.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.5.attn_norm.weight
F32
F32
[768]
blk.5.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.5.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.5.attn_v.weight
Q4_K
Q4_K
[768, 768]
blk.5.ffn_down.weight
Q4_K
Q4_K
[3072, 768]
blk.5.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.5.ffn_norm.weight
F32
F32
[768]
blk.5.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.6
blk.6.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.6.attn_norm.weight
F32
F32
[768]
blk.6.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.6.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.6.attn_v.weight
Q6_K
Q6_K
[768, 768]
blk.6.ffn_down.weight
Q6_K
Q6_K
[3072, 768]
blk.6.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.6.ffn_norm.weight
F32
F32
[768]
blk.6.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.7
blk.7.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.7.attn_norm.weight
F32
F32
[768]
blk.7.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.7.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.7.attn_v.weight
Q4_K
Q4_K
[768, 768]
blk.7.ffn_down.weight
Q4_K
Q4_K
[3072, 768]
blk.7.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.7.ffn_norm.weight
F32
F32
[768]
blk.7.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.8
blk.8.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.8.attn_norm.weight
F32
F32
[768]
blk.8.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.8.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.8.attn_v.weight
Q4_K
Q4_K
[768, 768]
blk.8.ffn_down.weight
Q4_K
Q4_K
[3072, 768]
blk.8.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.8.ffn_norm.weight
F32
F32
[768]
blk.8.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.9
blk.9.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.9.attn_norm.weight
F32
F32
[768]
blk.9.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.9.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.9.attn_v.weight
Q6_K
Q6_K
[768, 768]
blk.9.ffn_down.weight
Q6_K
Q6_K
[3072, 768]
blk.9.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.9.ffn_norm.weight
F32
F32
[768]
blk.9.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.10
blk.10.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.10.attn_norm.weight
F32
F32
[768]
blk.10.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.10.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.10.attn_v.weight
Q6_K
Q6_K
[768, 768]
blk.10.ffn_down.weight
Q6_K
Q6_K
[3072, 768]
blk.10.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.10.ffn_norm.weight
F32
F32
[768]
blk.10.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
blk.11
blk.11.attn_k.weight
Q4_K
Q4_K
[768, 768]
blk.11.attn_norm.weight
F32
F32
[768]
blk.11.attn_output.weight
Q4_K
Q4_K
[768, 768]
blk.11.attn_q.weight
Q4_K
Q4_K
[768, 768]
blk.11.attn_v.weight
Q6_K
Q6_K
[768, 768]
blk.11.ffn_down.weight
Q6_K
Q6_K
[3072, 768]
blk.11.ffn_gate.weight
Q4_K
Q4_K
[768, 3072]
blk.11.ffn_norm.weight
F32
F32
[768]
blk.11.ffn_up.weight
Q4_K
Q4_K
[768, 3072]
output_norm.weight
F32
F32
[768]