llama3.1

Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.

tools 8b 70b 405b

10.8M 2 months ago

93 Tags
... /
model
c31d08f726ab · 812GB
    Metadata
  • general.architecture
    llama
  • general.basename
    Meta-Llama-3.1
  • general.file_type
    1
  • general.languages
    [en, de, fr, it, pt, ...]
  • general.license
    llama3.1
  • general.name
    Meta Llama 3.1 405B
  • general.quantization_version
    2
  • general.size_label
    405B
  • general.tags
    [facebook, meta, pytorch, llama, llama-3, ...]
  • general.type
    model
  • llama.attention.head_count
    128
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    126
  • llama.context_length
    131072
  • llama.embedding_length
    16384
  • llama.feed_forward_length
    53248
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128001
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
  • Name
    Type
    Shape
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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.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    F16
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    F16
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  • blk.1.attn_norm.weight
    F32
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  • blk.1.attn_output.weight
    F16
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  • blk.1.attn_q.weight
    F16
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  • blk.1.attn_v.weight
    F16
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    F16
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  • blk.1.ffn_gate.weight
    F16
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  • blk.1.ffn_norm.weight
    F32
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  • blk.1.ffn_up.weight
    F16
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    F16
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  • blk.2.attn_norm.weight
    F32
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  • blk.2.attn_output.weight
    F16
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  • blk.2.attn_q.weight
    F16
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  • blk.2.attn_v.weight
    F16
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    F16
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    F16
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  • blk.2.ffn_norm.weight
    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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    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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    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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    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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    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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    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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    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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