gemma

Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1

2b 7b

4.2M 8 months ago

102 Tags
... /
model
d19e52732bdd · 17GB
    Metadata
  • gemma.attention.head_count
    16
  • gemma.attention.head_count_kv
    16
  • gemma.attention.key_length
    256
  • gemma.attention.layer_norm_rms_epsilon
    1e-06
  • gemma.attention.value_length
    256
  • gemma.block_count
    28
  • gemma.context_length
    8192
  • gemma.embedding_length
    3072
  • gemma.feed_forward_length
    24576
  • general.architecture
    gemma
  • general.name
    gemma-7b-it
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    2
  • tokenizer.ggml.eos_token_id
    1
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.scores
    [0, 0, 0, 0, 0, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 2, 1, ...]
  • tokenizer.ggml.tokens
    [<pad>, <eos>, <bos>, <unk>, <mask>, ...]
  • tokenizer.ggml.unknown_token_id
    3
    • Tensor
  • Name
    Type
    Shape
  • token_embd.weight
    F16
    [3072, 256000]
    • blk.0
  • blk.0.attn_k.weight
    F16
    [3072, 4096]
  • blk.0.attn_norm.weight
    F32
    [3072]
  • blk.0.attn_output.weight
    F16
    [4096, 3072]
  • blk.0.attn_q.weight
    F16
    [3072, 4096]
  • blk.0.attn_v.weight
    F16
    [3072, 4096]
  • blk.0.ffn_down.weight
    F16
    [24576, 3072]
  • blk.0.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.0.ffn_norm.weight
    F32
    [3072]
  • blk.0.ffn_up.weight
    F16
    [3072, 24576]
    • blk.1
  • blk.1.attn_k.weight
    F16
    [3072, 4096]
  • blk.1.attn_norm.weight
    F32
    [3072]
  • blk.1.attn_output.weight
    F16
    [4096, 3072]
  • blk.1.attn_q.weight
    F16
    [3072, 4096]
  • blk.1.attn_v.weight
    F16
    [3072, 4096]
  • blk.1.ffn_down.weight
    F16
    [24576, 3072]
  • blk.1.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.1.ffn_norm.weight
    F32
    [3072]
  • blk.1.ffn_up.weight
    F16
    [3072, 24576]
    • blk.2
  • blk.2.attn_k.weight
    F16
    [3072, 4096]
  • blk.2.attn_norm.weight
    F32
    [3072]
  • blk.2.attn_output.weight
    F16
    [4096, 3072]
  • blk.2.attn_q.weight
    F16
    [3072, 4096]
  • blk.2.attn_v.weight
    F16
    [3072, 4096]
  • blk.2.ffn_down.weight
    F16
    [24576, 3072]
  • blk.2.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.2.ffn_norm.weight
    F32
    [3072]
  • blk.2.ffn_up.weight
    F16
    [3072, 24576]
    • blk.3
  • blk.3.attn_k.weight
    F16
    [3072, 4096]
  • blk.3.attn_norm.weight
    F32
    [3072]
  • blk.3.attn_output.weight
    F16
    [4096, 3072]
  • blk.3.attn_q.weight
    F16
    [3072, 4096]
  • blk.3.attn_v.weight
    F16
    [3072, 4096]
  • blk.3.ffn_down.weight
    F16
    [24576, 3072]
  • blk.3.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.3.ffn_norm.weight
    F32
    [3072]
  • blk.3.ffn_up.weight
    F16
    [3072, 24576]
    • blk.4
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    F16
    [3072, 4096]
  • blk.4.attn_norm.weight
    F32
    [3072]
  • blk.4.attn_output.weight
    F16
    [4096, 3072]
  • blk.4.attn_q.weight
    F16
    [3072, 4096]
  • blk.4.attn_v.weight
    F16
    [3072, 4096]
  • blk.4.ffn_down.weight
    F16
    [24576, 3072]
  • blk.4.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.4.ffn_norm.weight
    F32
    [3072]
  • blk.4.ffn_up.weight
    F16
    [3072, 24576]
    • blk.5
  • blk.5.attn_k.weight
    F16
    [3072, 4096]
  • blk.5.attn_norm.weight
    F32
    [3072]
  • blk.5.attn_output.weight
    F16
    [4096, 3072]
  • blk.5.attn_q.weight
    F16
    [3072, 4096]
  • blk.5.attn_v.weight
    F16
    [3072, 4096]
  • blk.5.ffn_down.weight
    F16
    [24576, 3072]
  • blk.5.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.5.ffn_norm.weight
    F32
    [3072]
  • blk.5.ffn_up.weight
    F16
    [3072, 24576]
    • blk.6
  • blk.6.attn_k.weight
    F16
    [3072, 4096]
  • blk.6.attn_norm.weight
    F32
    [3072]
  • blk.6.attn_output.weight
    F16
    [4096, 3072]
  • blk.6.attn_q.weight
    F16
    [3072, 4096]
  • blk.6.attn_v.weight
    F16
    [3072, 4096]
  • blk.6.ffn_down.weight
    F16
    [24576, 3072]
  • blk.6.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.6.ffn_norm.weight
    F32
    [3072]
  • blk.6.ffn_up.weight
    F16
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    • blk.7
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    F16
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  • blk.7.attn_norm.weight
    F32
    [3072]
  • blk.7.attn_output.weight
    F16
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  • blk.7.attn_q.weight
    F16
    [3072, 4096]
  • blk.7.attn_v.weight
    F16
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  • blk.7.ffn_down.weight
    F16
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  • blk.7.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.7.ffn_norm.weight
    F32
    [3072]
  • blk.7.ffn_up.weight
    F16
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    • blk.8
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    F16
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    F32
    [3072]
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    F16
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    F16
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    F16
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    F16
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    F16
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  • blk.8.ffn_norm.weight
    F32
    [3072]
  • blk.8.ffn_up.weight
    F16
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    • blk.9
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    F16
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  • blk.9.attn_norm.weight
    F32
    [3072]
  • blk.9.attn_output.weight
    F16
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  • blk.9.attn_q.weight
    F16
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  • blk.9.attn_v.weight
    F16
    [3072, 4096]
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    F16
    [24576, 3072]
  • blk.9.ffn_gate.weight
    F16
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  • blk.9.ffn_norm.weight
    F32
    [3072]
  • blk.9.ffn_up.weight
    F16
    [3072, 24576]
    • blk.10
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    F16
    [3072, 4096]
  • blk.10.attn_norm.weight
    F32
    [3072]
  • blk.10.attn_output.weight
    F16
    [4096, 3072]
  • blk.10.attn_q.weight
    F16
    [3072, 4096]
  • blk.10.attn_v.weight
    F16
    [3072, 4096]
  • blk.10.ffn_down.weight
    F16
    [24576, 3072]
  • blk.10.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.10.ffn_norm.weight
    F32
    [3072]
  • blk.10.ffn_up.weight
    F16
    [3072, 24576]
    • blk.11
  • blk.11.attn_k.weight
    F16
    [3072, 4096]
  • blk.11.attn_norm.weight
    F32
    [3072]
  • blk.11.attn_output.weight
    F16
    [4096, 3072]
  • blk.11.attn_q.weight
    F16
    [3072, 4096]
  • blk.11.attn_v.weight
    F16
    [3072, 4096]
  • blk.11.ffn_down.weight
    F16
    [24576, 3072]
  • blk.11.ffn_gate.weight
    F16
    [3072, 24576]
  • blk.11.ffn_norm.weight
    F32
    [3072]
  • blk.11.ffn_up.weight
    F16
    [3072, 24576]
    • blk.12
  • blk.12.attn_k.weight
    F16
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  • blk.12.attn_norm.weight
    F32
    [3072]
  • blk.12.attn_output.weight
    F16
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  • blk.12.attn_q.weight
    F16
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  • blk.12.attn_v.weight
    F16
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    F16
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    F16
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  • blk.12.ffn_norm.weight
    F32
    [3072]
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    F16
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    • blk.13
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    F16
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  • blk.13.attn_norm.weight
    F32
    [3072]
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    F16
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  • blk.13.attn_q.weight
    F16
    [3072, 4096]
  • blk.13.attn_v.weight
    F16
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    F16
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    F16
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  • blk.13.ffn_norm.weight
    F32
    [3072]
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    F16
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    F16
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    F32
    [3072]
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
    [3072]
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    F16
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    • blk.15
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    F16
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  • blk.15.attn_norm.weight
    F32
    [3072]
  • blk.15.attn_output.weight
    F16
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  • blk.15.attn_q.weight
    F16
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    F16
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    F16
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  • blk.15.ffn_gate.weight
    F16
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  • blk.15.ffn_norm.weight
    F32
    [3072]
  • blk.15.ffn_up.weight
    F16
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    • blk.16
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    F16
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  • blk.16.attn_norm.weight
    F32
    [3072]
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    F16
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  • blk.16.attn_q.weight
    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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  • blk.19.attn_norm.weight
    F32
    [3072]
  • blk.19.attn_output.weight
    F16
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  • blk.19.attn_q.weight
    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F16
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    F32
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    F16
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