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

2B 7B

4.1M Pulls Updated 6 months ago

102 Tags

ef311de6af9d · 5.0GB
    Metadata
  • general.architecture
    gemma
  • general.file_type
    Q4_0
  • 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
  • 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
  • Tensors
  • Name
    Type
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
    [3072 4096]
  • blk.0.attn_v.weight
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    Q4_0
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    Q4_0
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    Q4_0
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  • blk.1.ffn_norm.weight
    F32
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    Q4_0
    [3072 4096]
  • blk.1.attn_output.weight
    Q4_0
    [4096 3072]
  • blk.1.attn_q.weight
    Q4_0
    [3072 4096]
  • blk.1.attn_v.weight
    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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  • blk.2.attn_output.weight
    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
    [3072 24576]
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    Q4_0
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    Q4_0
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    Q4_0
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    F32
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    F32
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    Q4_0
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    Q4_0
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    [3072 24576]
  • blk.27.ffn_norm.weight
    F32
    [3072]
  • blk.27.attn_k.weight
    Q4_0
    [3072 4096]
  • blk.27.attn_output.weight
    Q4_0
    [4096 3072]
  • blk.27.attn_q.weight
    Q4_0
    [3072 4096]
  • blk.27.attn_v.weight
    Q4_0
    [3072 4096]
  • output_norm.weight
    F32
    [3072]