Beanie/
Trojan-1-Preview-Qwen3-1.7B:latest

48 2 months ago

This is an essay writing model extremely effective at evading the ZeroGPT classifier. Performance is not guaranteed on other AI detection tools. This model is for research only, please do not use it for malicious purposes or to cheat on your homework.

tools thinking
... /
model
e93eecb4dd16 · 1.8GB
    Metadata
  • general.architecture
    qwen3
  • general.file_type
    Q8_0
  • qwen3.attention.head_count
    16
  • qwen3.attention.head_count_kv
    8
  • qwen3.attention.key_length
    128
  • qwen3.attention.layer_norm_rms_epsilon
    1e-06
  • qwen3.attention.value_length
    128
  • qwen3.block_count
    28
  • qwen3.context_length
    40960
  • qwen3.embedding_length
    2048
  • qwen3.feed_forward_length
    6144
  • qwen3.rope.freq_base
    1e+06
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.eos_token_id
    151645
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    151654
  • tokenizer.ggml.pre
    qwen2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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    Q8_0
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    Q8_0
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  • blk.0.attn_k_norm.weight
    F32
    [128]
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    F32
    [2048]
  • blk.0.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.0.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.0.attn_q_norm.weight
    F32
    [128]
  • blk.0.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.0.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.0.ffn_gate.weight
    Q8_0
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  • blk.0.ffn_norm.weight
    F32
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  • blk.0.ffn_up.weight
    Q8_0
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    • blk.1
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    Q8_0
    [2048, 1024]
  • blk.1.attn_k_norm.weight
    F32
    [128]
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    F32
    [2048]
  • blk.1.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.1.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.1.attn_q_norm.weight
    F32
    [128]
  • blk.1.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.1.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.1.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.1.ffn_norm.weight
    F32
    [2048]
  • blk.1.ffn_up.weight
    Q8_0
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    • blk.2
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    Q8_0
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  • blk.2.attn_k_norm.weight
    F32
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    F32
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  • blk.2.attn_output.weight
    Q8_0
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    Q8_0
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  • blk.2.attn_q_norm.weight
    F32
    [128]
  • blk.2.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.2.ffn_down.weight
    Q8_0
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  • blk.2.ffn_gate.weight
    Q8_0
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    F32
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    F32
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    F32
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    F32
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    F32
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    • blk.5
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    Q8_0
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    F32
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    F32
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    Q8_0
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    F32
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    F32
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    F32
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    Q8_0
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    F32
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    F32
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    Q8_0
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    F32
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    Q8_0
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    F32
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    F32
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    Q8_0
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    F32
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    Q8_0
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    F32
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    F32
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    [2048, 2048]
  • blk.22.attn_q_norm.weight
    F32
    [128]
  • blk.22.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.22.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.22.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.22.ffn_norm.weight
    F32
    [2048]
  • blk.22.ffn_up.weight
    Q8_0
    [2048, 6144]
    • blk.23
  • blk.23.attn_k.weight
    Q8_0
    [2048, 1024]
  • blk.23.attn_k_norm.weight
    F32
    [128]
  • blk.23.attn_norm.weight
    F32
    [2048]
  • blk.23.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.23.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.23.attn_q_norm.weight
    F32
    [128]
  • blk.23.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.23.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.23.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.23.ffn_norm.weight
    F32
    [2048]
  • blk.23.ffn_up.weight
    Q8_0
    [2048, 6144]
    • blk.24
  • blk.24.attn_k.weight
    Q8_0
    [2048, 1024]
  • blk.24.attn_k_norm.weight
    F32
    [128]
  • blk.24.attn_norm.weight
    F32
    [2048]
  • blk.24.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.24.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.24.attn_q_norm.weight
    F32
    [128]
  • blk.24.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.24.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.24.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.24.ffn_norm.weight
    F32
    [2048]
  • blk.24.ffn_up.weight
    Q8_0
    [2048, 6144]
    • blk.25
  • blk.25.attn_k.weight
    Q8_0
    [2048, 1024]
  • blk.25.attn_k_norm.weight
    F32
    [128]
  • blk.25.attn_norm.weight
    F32
    [2048]
  • blk.25.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.25.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.25.attn_q_norm.weight
    F32
    [128]
  • blk.25.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.25.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.25.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.25.ffn_norm.weight
    F32
    [2048]
  • blk.25.ffn_up.weight
    Q8_0
    [2048, 6144]
    • blk.26
  • blk.26.attn_k.weight
    Q8_0
    [2048, 1024]
  • blk.26.attn_k_norm.weight
    F32
    [128]
  • blk.26.attn_norm.weight
    F32
    [2048]
  • blk.26.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.26.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.26.attn_q_norm.weight
    F32
    [128]
  • blk.26.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.26.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.26.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.26.ffn_norm.weight
    F32
    [2048]
  • blk.26.ffn_up.weight
    Q8_0
    [2048, 6144]
    • blk.27
  • blk.27.attn_k.weight
    Q8_0
    [2048, 1024]
  • blk.27.attn_k_norm.weight
    F32
    [128]
  • blk.27.attn_norm.weight
    F32
    [2048]
  • blk.27.attn_output.weight
    Q8_0
    [2048, 2048]
  • blk.27.attn_q.weight
    Q8_0
    [2048, 2048]
  • blk.27.attn_q_norm.weight
    F32
    [128]
  • blk.27.attn_v.weight
    Q8_0
    [2048, 1024]
  • blk.27.ffn_down.weight
    Q8_0
    [6144, 2048]
  • blk.27.ffn_gate.weight
    Q8_0
    [2048, 6144]
  • blk.27.ffn_norm.weight
    F32
    [2048]
  • blk.27.ffn_up.weight
    Q8_0
    [2048, 6144]
  • output_norm.weight
    F32
    [2048]