JorgeAtLLama/abrahamlincoln

Abraham Lincoln is a language model designed to help users explore the rich history of the United States. Named after one of America's most iconic presidents, Abraham Lincoln provides deep insights into the nation's journey—from its founding.

tools

4 7 weeks ago

1 Tag
... /
model
8eeb52dfb3bb · 4.7GB
    Metadata
  • general.architecture
    llama
  • general.basename
    Meta-Llama-3.1
  • general.file_type
    2
  • general.finetune
    Instruct
  • general.languages
    [en, de, fr, it, pt, ...]
  • general.license
    llama3.1
  • general.name
    Meta Llama 3.1 8B Instruct
  • general.quantization_version
    2
  • general.size_label
    8B
  • general.tags
    [facebook, meta, pytorch, llama, llama-3, ...]
  • general.type
    model
  • 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
    131072
  • 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
    [!, ", #, $, %, ...]
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    Q4_0
    [4096, 4096]
  • blk.26.attn_v.weight
    Q4_0
    [4096, 1024]
  • blk.26.ffn_down.weight
    Q4_0
    [14336, 4096]
  • blk.26.ffn_gate.weight
    Q4_0
    [4096, 14336]
  • blk.26.ffn_norm.weight
    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]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [4096]