gurubot/
tinystories-656k-q8

Less than a megabyte, generates stories but not very coherently!

379 9 months ago

1 Tag
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model
e06e68395e91 · 749kB
    Metadata
  • general.architecture
    llama
  • general.file_type
    7
  • general.name
    TinyStories-656K
  • general.quantization_version
    2
  • llama.attention.head_count
    8
  • llama.attention.head_count_kv
    4
  • llama.attention.layer_norm_rms_epsilon
    1e-06
  • llama.block_count
    2
  • llama.context_length
    512
  • llama.embedding_length
    128
  • llama.feed_forward_length
    384
  • llama.rope.dimension_count
    16
  • llama.rope.freq_base
    10000
  • llama.vocab_size
    2048
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.model
    llama
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    default
  • tokenizer.ggml.scores
    [-1000, -1000, -1000, -1000, -1000, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 1, 1, ...]
  • tokenizer.ggml.tokens
    [<unk>, <|start_story|>, <|end_story|>, , !, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • token_embd.weight
    Q8_0
    [128, 2048]
    • blk.0
  • blk.0.attn_k.weight
    Q8_0
    [128, 64]
  • blk.0.attn_norm.weight
    F32
    [128]
  • blk.0.attn_output.weight
    Q8_0
    [128, 128]
  • blk.0.attn_q.weight
    Q8_0
    [128, 128]
  • blk.0.attn_v.weight
    Q8_0
    [128, 64]
  • blk.0.ffn_down.weight
    Q8_0
    [384, 128]
  • blk.0.ffn_gate.weight
    Q8_0
    [128, 384]
  • blk.0.ffn_norm.weight
    F32
    [128]
  • blk.0.ffn_up.weight
    Q8_0
    [128, 384]
    • blk.1
  • blk.1.attn_k.weight
    Q8_0
    [128, 64]
  • blk.1.attn_norm.weight
    F32
    [128]
  • blk.1.attn_output.weight
    Q8_0
    [128, 128]
  • blk.1.attn_q.weight
    Q8_0
    [128, 128]
  • blk.1.attn_v.weight
    Q8_0
    [128, 64]
  • blk.1.ffn_down.weight
    Q8_0
    [384, 128]
  • blk.1.ffn_gate.weight
    Q8_0
    [128, 384]
  • blk.1.ffn_norm.weight
    F32
    [128]
  • blk.1.ffn_up.weight
    Q8_0
    [128, 384]
  • output_norm.weight
    F32
    [128]