Hudson/
pythia-instruct

70m

37 6 months ago

1 Tag
... /
model
f719f9ed21c3 · 143MB
    Metadata
  • general.architecture
    gptneox
  • gptneox.attention.head_count
    8
  • gptneox.attention.layer_norm_epsilon
    1e-05
  • gptneox.block_count
    6
  • gptneox.context_length
    2048
  • gptneox.embedding_length
    512
  • gptneox.feed_forward_length
    2048
  • gptneox.rope.dimension_count
    16
  • gptneox.use_parallel_residual
    true
  • tokenizer.ggml.bos_token_id
    0
  • tokenizer.ggml.eos_token_id
    0
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, Ġ a, h e, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.pre
    olmo
  • tokenizer.ggml.token_type
    [3, 3, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [<|endoftext|>, <|padding|>, !, ", #, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
  • token_embd.weight
    F16
    [512, 50279]
    • blk.0
  • blk.0.attn_norm.bias
    F32
    [512]
  • blk.0.attn_norm.weight
    F32
    [512]
  • blk.0.attn_output.bias
    F32
    [512]
  • blk.0.attn_output.weight
    F16
    [512, 512]
  • blk.0.attn_qkv.bias
    F32
    [1536]
  • blk.0.attn_qkv.weight
    F16
    [512, 1536]
  • blk.0.ffn_down.bias
    F32
    [512]
  • blk.0.ffn_down.weight
    F16
    [2048, 512]
  • blk.0.ffn_norm.bias
    F32
    [512]
  • blk.0.ffn_norm.weight
    F32
    [512]
  • blk.0.ffn_up.bias
    F32
    [2048]
  • blk.0.ffn_up.weight
    F16
    [512, 2048]
    • blk.1
  • blk.1.attn_norm.bias
    F32
    [512]
  • blk.1.attn_norm.weight
    F32
    [512]
  • blk.1.attn_output.bias
    F32
    [512]
  • blk.1.attn_output.weight
    F16
    [512, 512]
  • blk.1.attn_qkv.bias
    F32
    [1536]
  • blk.1.attn_qkv.weight
    F16
    [512, 1536]
  • blk.1.ffn_down.bias
    F32
    [512]
  • blk.1.ffn_down.weight
    F16
    [2048, 512]
  • blk.1.ffn_norm.bias
    F32
    [512]
  • blk.1.ffn_norm.weight
    F32
    [512]
  • blk.1.ffn_up.bias
    F32
    [2048]
  • blk.1.ffn_up.weight
    F16
    [512, 2048]
    • blk.2
  • blk.2.attn_norm.bias
    F32
    [512]
  • blk.2.attn_norm.weight
    F32
    [512]
  • blk.2.attn_output.bias
    F32
    [512]
  • blk.2.attn_output.weight
    F16
    [512, 512]
  • blk.2.attn_qkv.bias
    F32
    [1536]
  • blk.2.attn_qkv.weight
    F16
    [512, 1536]
  • blk.2.ffn_down.bias
    F32
    [512]
  • blk.2.ffn_down.weight
    F16
    [2048, 512]
  • blk.2.ffn_norm.bias
    F32
    [512]
  • blk.2.ffn_norm.weight
    F32
    [512]
  • blk.2.ffn_up.bias
    F32
    [2048]
  • blk.2.ffn_up.weight
    F16
    [512, 2048]
    • blk.3
  • blk.3.attn_norm.bias
    F32
    [512]
  • blk.3.attn_norm.weight
    F32
    [512]
  • blk.3.attn_output.bias
    F32
    [512]
  • blk.3.attn_output.weight
    F16
    [512, 512]
  • blk.3.attn_qkv.bias
    F32
    [1536]
  • blk.3.attn_qkv.weight
    F16
    [512, 1536]
  • blk.3.ffn_down.bias
    F32
    [512]
  • blk.3.ffn_down.weight
    F16
    [2048, 512]
  • blk.3.ffn_norm.bias
    F32
    [512]
  • blk.3.ffn_norm.weight
    F32
    [512]
  • blk.3.ffn_up.bias
    F32
    [2048]
  • blk.3.ffn_up.weight
    F16
    [512, 2048]
    • blk.4
  • blk.4.attn_norm.bias
    F32
    [512]
  • blk.4.attn_norm.weight
    F32
    [512]
  • blk.4.attn_output.bias
    F32
    [512]
  • blk.4.attn_output.weight
    F16
    [512, 512]
  • blk.4.attn_qkv.bias
    F32
    [1536]
  • blk.4.attn_qkv.weight
    F16
    [512, 1536]
  • blk.4.ffn_down.bias
    F32
    [512]
  • blk.4.ffn_down.weight
    F16
    [2048, 512]
  • blk.4.ffn_norm.bias
    F32
    [512]
  • blk.4.ffn_norm.weight
    F32
    [512]
  • blk.4.ffn_up.bias
    F32
    [2048]
  • blk.4.ffn_up.weight
    F16
    [512, 2048]
    • blk.5
  • blk.5.attn_norm.bias
    F32
    [512]
  • blk.5.attn_norm.weight
    F32
    [512]
  • blk.5.attn_output.bias
    F32
    [512]
  • blk.5.attn_output.weight
    F16
    [512, 512]
  • blk.5.attn_qkv.bias
    F32
    [1536]
  • blk.5.attn_qkv.weight
    F16
    [512, 1536]
  • blk.5.ffn_down.bias
    F32
    [512]
  • blk.5.ffn_down.weight
    F16
    [2048, 512]
  • blk.5.ffn_norm.bias
    F32
    [512]
  • blk.5.ffn_norm.weight
    F32
    [512]
  • blk.5.ffn_up.bias
    F32
    [2048]
  • blk.5.ffn_up.weight
    F16
    [512, 2048]
  • output.weight
    F16
    [512, 50279]
  • output_norm.bias
    F32
    [512]
  • output_norm.weight
    F32
    [512]