Finetuned on continue's autocomplete data (600 steps)

232 8 months ago

7655c15bd581 · 6.1GB
    Metadata
  • general.architecture
    starcoder2
  • general.file_type
    1
  • general.name
    finetune_starcoder2_nate_continue_600steps
  • starcoder2.attention.head_count
    24
  • starcoder2.attention.head_count_kv
    2
  • starcoder2.attention.layer_norm_epsilon
    1e-05
  • starcoder2.block_count
    30
  • starcoder2.context_length
    16384
  • starcoder2.embedding_length
    3072
  • starcoder2.feed_forward_length
    12288
  • starcoder2.rope.freq_base
    999999.44
  • tokenizer.ggml.bos_token_id
    0
  • tokenizer.ggml.eos_token_id
    0
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, ĠĠĠĠ ĠĠĠĠ, ĠĠ Ġ, e r, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [<|endoftext|>, <fim_prefix>, <fim_middle>, <fim_suffix>, <fim_pad>, ...]
  • tokenizer.ggml.unknown_token_id
    0
  • Tensor
  • Name
    Type
    Shape
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    F16
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    F32
    [3072]
  • blk.0.attn_norm.weight
    F32
    [3072]
  • blk.0.attn_output.bias
    F32
    [3072]
  • blk.0.attn_output.weight
    F16
    [3072, 3072]
  • blk.0.attn_q.bias
    F32
    [3072]
  • blk.0.attn_q.weight
    F16
    [3072, 3072]
  • blk.0.attn_v.bias
    F32
    [256]
  • blk.0.attn_v.weight
    F16
    [3072, 256]
  • blk.0.ffn_down.bias
    F32
    [3072]
  • blk.0.ffn_down.weight
    F16
    [12288, 3072]
  • blk.0.ffn_norm.bias
    F32
    [3072]
  • blk.0.ffn_norm.weight
    F32
    [3072]
  • blk.0.ffn_up.bias
    F32
    [12288]
  • blk.0.ffn_up.weight
    F16
    [3072, 12288]
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    F32
    [256]
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    F16
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    F32
    [3072]
  • blk.1.attn_norm.weight
    F32
    [3072]
  • blk.1.attn_output.bias
    F32
    [3072]
  • blk.1.attn_output.weight
    F16
    [3072, 3072]
  • blk.1.attn_q.bias
    F32
    [3072]
  • blk.1.attn_q.weight
    F16
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    F32
    [256]
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    F16
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    F32
    [3072]
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    F16
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    F32
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  • blk.1.ffn_norm.weight
    F32
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    F32
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    F16
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    [256]
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    F16
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    F16
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    F32
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    F16
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    F32
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    F16
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    F32
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    F32
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    F16
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