ALIENTELLIGENCE / congressbillreviewer

Reviews upcoming legislation and past legislation allow the user to ask questions about new bills proposed by congress. The goal is to make the user more aware of the contents of the legislation.

7 3 months ago

1 Tag
... /
model
6a0746a1ec1a · 4.7GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    2
  • general.name
    Meta-Llama-3-8B-Instruct
  • general.quantization_version
    2
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    8192
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • 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
    128009
  • 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
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    Q4_0
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    Q4_0
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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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    F32
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    Q4_0
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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_gate.weight
    Q4_0
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  • blk.1.ffn_norm.weight
    F32
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  • blk.1.ffn_up.weight
    Q4_0
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    Q4_0
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  • blk.2.attn_norm.weight
    F32
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    Q4_0
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  • blk.2.attn_q.weight
    Q4_0
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  • blk.2.attn_v.weight
    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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    F32
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    Q4_0
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    Q4_0
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    F32
    [4096]
  • blk.26.ffn_up.weight
    Q4_0
    [4096, 14336]
    • blk.27
  • blk.27.attn_k.weight
    Q4_0
    [4096, 1024]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    Q4_0
    [4096, 4096]
  • blk.27.attn_q.weight
    Q4_0
    [4096, 4096]
  • blk.27.attn_v.weight
    Q4_0
    [4096, 1024]
  • blk.27.ffn_down.weight
    Q4_0
    [14336, 4096]
  • blk.27.ffn_gate.weight
    Q4_0
    [4096, 14336]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q4_0
    [4096, 14336]
    • blk.28
  • blk.28.attn_k.weight
    Q4_0
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    Q4_0
    [4096, 4096]
  • blk.28.attn_q.weight
    Q4_0
    [4096, 4096]
  • blk.28.attn_v.weight
    Q4_0
    [4096, 1024]
  • blk.28.ffn_down.weight
    Q4_0
    [14336, 4096]
  • blk.28.ffn_gate.weight
    Q4_0
    [4096, 14336]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q4_0
    [4096, 14336]
    • blk.29
  • blk.29.attn_k.weight
    Q4_0
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    Q4_0
    [4096, 4096]
  • blk.29.attn_q.weight
    Q4_0
    [4096, 4096]
  • blk.29.attn_v.weight
    Q4_0
    [4096, 1024]
  • blk.29.ffn_down.weight
    Q4_0
    [14336, 4096]
  • blk.29.ffn_gate.weight
    Q4_0
    [4096, 14336]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q4_0
    [4096, 14336]
    • blk.30
  • blk.30.attn_k.weight
    Q4_0
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    Q4_0
    [4096, 4096]
  • blk.30.attn_q.weight
    Q4_0
    [4096, 4096]
  • blk.30.attn_v.weight
    Q4_0
    [4096, 1024]
  • blk.30.ffn_down.weight
    Q4_0
    [14336, 4096]
  • blk.30.ffn_gate.weight
    Q4_0
    [4096, 14336]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    Q4_0
    [4096, 14336]
    • blk.31
  • blk.31.attn_k.weight
    Q4_0
    [4096, 1024]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    Q4_0
    [4096, 4096]
  • blk.31.attn_q.weight
    Q4_0
    [4096, 4096]
  • blk.31.attn_v.weight
    Q4_0
    [4096, 1024]
  • blk.31.ffn_down.weight
    Q4_0
    [14336, 4096]
  • blk.31.ffn_gate.weight
    Q4_0
    [4096, 14336]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    Q4_0
    [4096, 14336]
  • output.weight
    Q6_K
    [4096, 128256]
  • output_norm.weight
    F32
    [4096]