FableForge-AI/ mythos-9b-unhinged:q3_k_m

1,342 1 month ago

Mythos 9B Unhinged - Uncensored AI Agent by FableForge AI. Most popular variant with 109 downloads. Maximum uncensored capability with zero content filtering. Trained on agent traces from the Fable5 dataset. Fastest at 10.3 tok/s. Best for users who want

... /
model
29388763cdc3 · 4.1GB
    Metadata
  • general.architecture
    qwen3
  • general.file_type
    Q3_K_M
  • qwen3.attention.head_count
    32
  • 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
    36
  • qwen3.context_length
    40960
  • qwen3.embedding_length
    4096
  • qwen3.feed_forward_length
    12288
  • qwen3.rope.freq_base
    1e+06
  • tokenizer.ggml.bos_token_id
    151643
  • 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
    151643
  • tokenizer.ggml.pre
    qwen2
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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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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    Q3_K
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    • blk.23
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    Q3_K
    [4096, 1024]
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    F32
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    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
  • blk.23.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
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    Q4_K
    [12288, 4096]
  • blk.23.ffn_gate.weight
    Q3_K
    [4096, 12288]
  • blk.23.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 12288]
    • blk.24
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    Q3_K
    [4096, 1024]
  • blk.24.attn_k_norm.weight
    F32
    [128]
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    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.24.ffn_down.weight
    Q4_K
    [12288, 4096]
  • blk.24.ffn_gate.weight
    Q3_K
    [4096, 12288]
  • blk.24.ffn_norm.weight
    F32
    [4096]
  • blk.24.ffn_up.weight
    Q3_K
    [4096, 12288]
    • blk.25
  • blk.25.attn_k.weight
    Q3_K
    [4096, 1024]
  • blk.25.attn_k_norm.weight
    F32
    [128]
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    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
  • blk.25.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.25.ffn_down.weight
    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.25.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 12288]
    • blk.26
  • blk.26.attn_k.weight
    Q3_K
    [4096, 1024]
  • blk.26.attn_k_norm.weight
    F32
    [128]
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    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
  • blk.26.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.26.ffn_down.weight
    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.26.ffn_norm.weight
    F32
    [4096]
  • blk.26.ffn_up.weight
    Q3_K
    [4096, 12288]
    • blk.27
  • blk.27.attn_k.weight
    Q3_K
    [4096, 1024]
  • blk.27.attn_k_norm.weight
    F32
    [128]
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    F32
    [4096]
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    Q4_K
    [4096, 4096]
  • blk.27.attn_q.weight
    Q3_K
    [4096, 4096]
  • blk.27.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.27.ffn_down.weight
    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.27.ffn_norm.weight
    F32
    [4096]
  • blk.27.ffn_up.weight
    Q3_K
    [4096, 12288]
    • blk.28
  • blk.28.attn_k.weight
    Q3_K
    [4096, 1024]
  • blk.28.attn_k_norm.weight
    F32
    [128]
  • blk.28.attn_norm.weight
    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
  • blk.28.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.28.ffn_down.weight
    Q4_K
    [12288, 4096]
  • blk.28.ffn_gate.weight
    Q3_K
    [4096, 12288]
  • blk.28.ffn_norm.weight
    F32
    [4096]
  • blk.28.ffn_up.weight
    Q3_K
    [4096, 12288]
    • blk.29
  • blk.29.attn_k.weight
    Q3_K
    [4096, 1024]
  • blk.29.attn_k_norm.weight
    F32
    [128]
  • blk.29.attn_norm.weight
    F32
    [4096]
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    Q4_K
    [4096, 4096]
  • blk.29.attn_q.weight
    Q3_K
    [4096, 4096]
  • blk.29.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.29.ffn_down.weight
    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.29.ffn_norm.weight
    F32
    [4096]
  • blk.29.ffn_up.weight
    Q3_K
    [4096, 12288]
    • blk.30
  • blk.30.attn_k.weight
    Q3_K
    [4096, 1024]
  • blk.30.attn_k_norm.weight
    F32
    [128]
  • blk.30.attn_norm.weight
    F32
    [4096]
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    Q4_K
    [4096, 4096]
  • blk.30.attn_q.weight
    Q3_K
    [4096, 4096]
  • blk.30.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.30.ffn_down.weight
    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.30.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 12288]
    • blk.31
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    Q3_K
    [4096, 1024]
  • blk.31.attn_k_norm.weight
    F32
    [128]
  • blk.31.attn_norm.weight
    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
  • blk.31.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
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    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.31.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 12288]
    • blk.32
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    Q3_K
    [4096, 1024]
  • blk.32.attn_k_norm.weight
    F32
    [128]
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    F32
    [4096]
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    F32
    [128]
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    Q4_K
    [4096, 1024]
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    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
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    F32
    [4096]
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    Q3_K
    [4096, 12288]
    • blk.33
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    Q3_K
    [4096, 1024]
  • blk.33.attn_k_norm.weight
    F32
    [128]
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    F32
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    Q4_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
  • blk.33.attn_q_norm.weight
    F32
    [128]
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    Q4_K
    [4096, 1024]
  • blk.33.ffn_down.weight
    Q4_K
    [12288, 4096]
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    Q3_K
    [4096, 12288]
  • blk.33.ffn_norm.weight
    F32
    [4096]
  • blk.33.ffn_up.weight
    Q3_K
    [4096, 12288]
    • blk.34
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    Q3_K
    [4096, 1024]
  • blk.34.attn_k_norm.weight
    F32
    [128]
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    F32
    [4096]
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    Q4_K
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    F32
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    Q4_K
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  • blk.34.ffn_norm.weight
    F32
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    Q3_K
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    • blk.35
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    Q3_K
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    F32
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    F32
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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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    Q3_K
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    F32
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