huihui_ai/skywork-o1-abliterated

The Skywork o1 Open model series, developed by the Skywork team at Kunlun Inc. This groundbreaking release introduces a series of models that incorporate o1-like slow thinking and reasoning capabilities.

tools 8b

193 3 weeks ago

5 Tags
... /
model
f5379300794f · 4.9GB
    Metadata
  • general.architecture
    llama
  • general.base_model.0.name
    Skywork O1 Open Llama 3.1 8B
  • general.base_model.0.organization
    Skywork
  • general.base_model.0.repo_url
    https://huggingface.co/Skywork/Skywork-o1-Open-Llama-3.1-8B
  • general.base_model.count
    1
  • general.basename
    Skywork-o1-Open-Llama3.1
  • general.file_type
    15
  • general.finetune
    abliterated
  • general.license
    other
  • general.name
    Skywork O1 Open Llama3.1 8B
  • general.quantization_version
    2
  • general.size_label
    8B
  • general.tags
    [abliterated, uncensored, text-generation]
  • general.type
    model
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.block_count
    32
  • llama.context_length
    131072
  • llama.embedding_length
    4096
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128009
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    128009
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
  • Name
    Type
    Shape
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    Q4_K
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  • blk.0.attn_q.weight
    Q4_K
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  • blk.0.attn_v.weight
    Q6_K
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  • blk.0.ffn_down.weight
    Q6_K
    [14336, 4096]
  • blk.0.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.0.ffn_norm.weight
    F32
    [4096]
  • blk.0.ffn_up.weight
    Q4_K
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    • blk.1
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    Q4_K
    [4096, 1024]
  • blk.1.attn_norm.weight
    F32
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  • blk.1.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.1.attn_q.weight
    Q4_K
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  • blk.1.attn_v.weight
    Q6_K
    [4096, 1024]
  • blk.1.ffn_down.weight
    Q6_K
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  • blk.1.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.1.ffn_norm.weight
    F32
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    Q4_K
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    • blk.2
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    Q4_K
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  • blk.2.attn_norm.weight
    F32
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  • blk.2.attn_output.weight
    Q4_K
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  • blk.2.attn_q.weight
    Q4_K
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  • blk.2.attn_v.weight
    Q6_K
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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q6_K
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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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  • blk.4.attn_v.weight
    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    Q4_K
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    F32
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    Q4_K
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    Q4_K
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    Q6_K
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    Q6_K
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    Q4_K
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    F32
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    Q4_K
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    F32
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    F32
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    Q4_K
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    [4096, 14336]
    • blk.26
  • blk.26.attn_k.weight
    Q4_K
    [4096, 1024]
  • blk.26.attn_norm.weight
    F32
    [4096]
  • blk.26.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.26.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.26.attn_v.weight
    Q4_K
    [4096, 1024]
  • blk.26.ffn_down.weight
    Q4_K
    [14336, 4096]
  • blk.26.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.26.ffn_norm.weight
    F32
    [4096]
  • blk.26.ffn_up.weight
    Q4_K
    [4096, 14336]
    • blk.27
  • blk.27.attn_k.weight
    Q4_K
    [4096, 1024]
  • blk.27.attn_norm.weight
    F32
    [4096]
  • blk.27.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.27.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.27.attn_v.weight
    Q6_K
    [4096, 1024]
  • blk.27.ffn_down.weight
    Q6_K
    [14336, 4096]
  • blk.27.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q4_K
    [4096, 14336]
    • blk.28
  • blk.28.attn_k.weight
    Q4_K
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
  • blk.28.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.28.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.28.attn_v.weight
    Q6_K
    [4096, 1024]
  • blk.28.ffn_down.weight
    Q6_K
    [14336, 4096]
  • blk.28.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q4_K
    [4096, 14336]
    • blk.29
  • blk.29.attn_k.weight
    Q4_K
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
  • blk.29.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.29.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.29.attn_v.weight
    Q6_K
    [4096, 1024]
  • blk.29.ffn_down.weight
    Q6_K
    [14336, 4096]
  • blk.29.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q4_K
    [4096, 14336]
    • blk.30
  • blk.30.attn_k.weight
    Q4_K
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
  • blk.30.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.30.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.30.attn_v.weight
    Q6_K
    [4096, 1024]
  • blk.30.ffn_down.weight
    Q6_K
    [14336, 4096]
  • blk.30.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.30.ffn_norm.weight
    F32
    [4096]
  • blk.30.ffn_up.weight
    Q4_K
    [4096, 14336]
    • blk.31
  • blk.31.attn_k.weight
    Q4_K
    [4096, 1024]
  • blk.31.attn_norm.weight
    F32
    [4096]
  • blk.31.attn_output.weight
    Q4_K
    [4096, 4096]
  • blk.31.attn_q.weight
    Q4_K
    [4096, 4096]
  • blk.31.attn_v.weight
    Q6_K
    [4096, 1024]
  • blk.31.ffn_down.weight
    Q6_K
    [14336, 4096]
  • blk.31.ffn_gate.weight
    Q4_K
    [4096, 14336]
  • blk.31.ffn_norm.weight
    F32
    [4096]
  • blk.31.ffn_up.weight
    Q4_K
    [4096, 14336]
  • output.weight
    Q6_K
    [4096, 128256]
  • rope_freqs.weight
    F32
    [64]
  • output_norm.weight
    F32
    [4096]