painsel/ TAO-Global:latest

9 4 months ago

small Article Writer AI Model for the project TAO Global trained on journalism data from the internet

... /
model
fad2a06e4cc7 · 395MB
    Metadata
  • general.architecture
    qwen2
  • general.file_type
    Q4_0
  • qwen2.attention.head_count
    16
  • qwen2.attention.head_count_kv
    16
  • qwen2.attention.layer_norm_rms_epsilon
    1e-06
  • qwen2.block_count
    24
  • qwen2.context_length
    32768
  • qwen2.embedding_length
    1024
  • qwen2.feed_forward_length
    2816
  • qwen2.use_parallel_residual
    true
  • tokenizer.ggml.bos_token_id
    151643
  • tokenizer.ggml.eos_token_id
    151643
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    151643
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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  • blk.22.attn_k.bias
    F32
    [1024]
  • blk.22.attn_k.weight
    Q4_0
    [1024, 1024]
  • blk.22.attn_norm.weight
    F32
    [1024]
  • blk.22.attn_output.weight
    Q4_0
    [1024, 1024]
  • blk.22.attn_q.bias
    F32
    [1024]
  • blk.22.attn_q.weight
    Q4_0
    [1024, 1024]
  • blk.22.attn_v.bias
    F32
    [1024]
  • blk.22.attn_v.weight
    Q4_0
    [1024, 1024]
  • blk.22.ffn_down.weight
    Q4_0
    [2816, 1024]
  • blk.22.ffn_gate.weight
    Q4_0
    [1024, 2816]
  • blk.22.ffn_norm.weight
    F32
    [1024]
  • blk.22.ffn_up.weight
    Q4_0
    [1024, 2816]
    • blk.23
  • blk.23.attn_k.bias
    F32
    [1024]
  • blk.23.attn_k.weight
    Q4_0
    [1024, 1024]
  • blk.23.attn_norm.weight
    F32
    [1024]
  • blk.23.attn_output.weight
    Q4_0
    [1024, 1024]
  • blk.23.attn_q.bias
    F32
    [1024]
  • blk.23.attn_q.weight
    Q4_0
    [1024, 1024]
  • blk.23.attn_v.bias
    F32
    [1024]
  • blk.23.attn_v.weight
    Q4_0
    [1024, 1024]
  • blk.23.ffn_down.weight
    Q4_0
    [2816, 1024]
  • blk.23.ffn_gate.weight
    Q4_0
    [1024, 2816]
  • blk.23.ffn_norm.weight
    F32
    [1024]
  • blk.23.ffn_up.weight
    Q4_0
    [1024, 2816]
  • output.weight
    Q6_K
    [1024, 151936]
  • output_norm.weight
    F32
    [1024]