Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.

1.6b 12b

98.7K 6 months ago

2e15d9bf8e73 · 1.2GB
    Metadata
  • general.architecture
    stablelm
  • general.file_type
    16
  • general.name
    stablelm-2-zephyr-1_6b
  • general.quantization_version
    2
  • stablelm.attention.head_count
    32
  • stablelm.attention.layer_norm_epsilon
    1e-05
  • stablelm.block_count
    24
  • stablelm.context_length
    4096
  • stablelm.embedding_length
    2048
  • stablelm.feed_forward_length
    5632
  • stablelm.rope.dimension_count
    16
  • stablelm.use_parallel_residual
    true
  • tokenizer.ggml.bos_token_id
    100257
  • tokenizer.ggml.eos_token_id
    100257
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • tokenizer.ggml.unknown_token_id
    100257
  • Tensor
  • Name
    Type
    Shape
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    Q5_K
    [2048, 100352]
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    Q5_K
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    F32
    [2048]
  • blk.0.attn_norm.weight
    F32
    [2048]
  • blk.0.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.0.attn_q.bias
    F32
    [2048]
  • blk.0.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.0.attn_v.bias
    F32
    [2048]
  • blk.0.attn_v.weight
    Q5_K
    [2048, 2048]
  • blk.0.ffn_down.weight
    Q5_K
    [5632, 2048]
  • blk.0.ffn_gate.weight
    Q5_K
    [2048, 5632]
  • blk.0.ffn_norm.bias
    F32
    [2048]
  • blk.0.ffn_norm.weight
    F32
    [2048]
  • blk.0.ffn_up.weight
    Q5_K
    [2048, 5632]
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    F32
    [2048]
  • blk.1.attn_k.weight
    Q5_K
    [2048, 2048]
  • blk.1.attn_norm.bias
    F32
    [2048]
  • blk.1.attn_norm.weight
    F32
    [2048]
  • blk.1.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.1.attn_q.bias
    F32
    [2048]
  • blk.1.attn_q.weight
    Q5_K
    [2048, 2048]
  • blk.1.attn_v.bias
    F32
    [2048]
  • blk.1.attn_v.weight
    Q5_K
    [2048, 2048]
  • blk.1.ffn_down.weight
    Q5_K
    [5632, 2048]
  • blk.1.ffn_gate.weight
    Q5_K
    [2048, 5632]
  • blk.1.ffn_norm.bias
    F32
    [2048]
  • blk.1.ffn_norm.weight
    F32
    [2048]
  • blk.1.ffn_up.weight
    Q5_K
    [2048, 5632]
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    F32
    [2048]
  • blk.2.attn_k.weight
    Q5_K
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  • blk.2.attn_norm.bias
    F32
    [2048]
  • blk.2.attn_norm.weight
    F32
    [2048]
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    Q5_K
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    F32
    [2048]
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    Q5_K
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    F32
    [2048]
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    Q5_K
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    Q5_K
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    Q5_K
    [2048, 5632]
  • blk.2.ffn_norm.bias
    F32
    [2048]
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    F32
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  • blk.2.ffn_up.weight
    Q5_K
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    F32
    [2048]
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    Q5_K
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  • blk.3.attn_norm.bias
    F32
    [2048]
  • blk.3.attn_norm.weight
    F32
    [2048]
  • blk.3.attn_output.weight
    Q5_K
    [2048, 2048]
  • blk.3.attn_q.bias
    F32
    [2048]
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    Q5_K
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  • blk.3.attn_v.bias
    F32
    [2048]
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    Q5_K
    [2048, 2048]
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    Q5_K
    [5632, 2048]
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    Q5_K
    [2048, 5632]
  • blk.3.ffn_norm.bias
    F32
    [2048]
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    F32
    [2048]
  • blk.3.ffn_up.weight
    Q5_K
    [2048, 5632]
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    F32
    [2048]
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    Q5_K
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  • blk.4.attn_norm.bias
    F32
    [2048]
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    F32
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    Q5_K
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    F32
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    Q5_K
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    F32
    [2048]
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    Q5_K
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    Q5_K
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    Q5_K
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  • blk.4.ffn_norm.bias
    F32
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    F32
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    Q5_K
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    Q5_K
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    F32
    [2048]
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    F32
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    Q5_K
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    F32
    [2048]
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    F32
    [2048]
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    F32
    [2048]
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    Q5_K
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    F32
    [2048]
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    Q5_K
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    F32
    [2048]
  • blk.6.attn_v.weight
    Q5_K
    [2048, 2048]
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    Q5_K
    [5632, 2048]
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    Q5_K
    [2048, 5632]
  • blk.6.ffn_norm.bias
    F32
    [2048]
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    F32
    [2048]
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    Q5_K
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    F32
    [2048]
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    Q5_K
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    F32
    [2048]
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    F32
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    Q5_K
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    [2048]
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    F32
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    F32
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    F32
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    F32
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