LESSTHANSUPER/ DARK_PLANET_REBEL_FURY-Llama3-25b:Q3_K_S

323 10 months ago

Storytelling mixture of experts model for consumer GPUs. Made by DavidAU (Huggingface).

tools
... /
model
7522d55e9aab · 11GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q3_K_S
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.key_length
    128
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.attention.value_length
    128
  • llama.block_count
    32
  • llama.context_length
    8192
  • llama.embedding_length
    4096
  • llama.expert_count
    4
  • llama.expert_used_count
    2
  • 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
    128000
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • mradermacher.convert_type
    hf
  • mradermacher.quantize_version
    2
  • mradermacher.quantized_at
    2024-12-17T01:57:55+01:00
  • mradermacher.quantized_by
    mradermacher
  • mradermacher.quantized_on
    db1
  • quantize.imatrix.chunks_count
    314
  • quantize.imatrix.dataset
    imatrix-training-full-3
  • quantize.imatrix.entries_count
    256
  • quantize.imatrix.file
    L3-MOE-4x8B-Dark-Planet-Rebel-FURY-25B-i1-GGUF/imatrix.dat
    • Tensor
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    Q3_K
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    F32
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    [4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
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    Q3_K
    [4096, 14336, 4]
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    F32
    [4096, 4]
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    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.23
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    Q3_K
    [4096, 1024]
  • blk.23.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
  • blk.23.attn_q.weight
    Q3_K
    [4096, 4096]
  • blk.23.attn_v.weight
    Q3_K
    [4096, 1024]
  • blk.23.ffn_down_exps.weight
    Q3_K
    [14336, 4096, 4]
  • blk.23.ffn_gate_exps.weight
    Q3_K
    [4096, 14336, 4]
  • blk.23.ffn_gate_inp.weight
    F32
    [4096, 4]
  • blk.23.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.24
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    Q3_K
    [4096, 1024]
  • blk.24.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
  • blk.24.attn_q.weight
    Q3_K
    [4096, 4096]
  • blk.24.attn_v.weight
    Q3_K
    [4096, 1024]
  • blk.24.ffn_down_exps.weight
    Q3_K
    [14336, 4096, 4]
  • blk.24.ffn_gate_exps.weight
    Q3_K
    [4096, 14336, 4]
  • blk.24.ffn_gate_inp.weight
    F32
    [4096, 4]
  • blk.24.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.25
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    Q3_K
    [4096, 1024]
  • blk.25.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
  • blk.25.ffn_gate_exps.weight
    Q3_K
    [4096, 14336, 4]
  • blk.25.ffn_gate_inp.weight
    F32
    [4096, 4]
  • blk.25.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.26
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    Q3_K
    [4096, 1024]
  • blk.26.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
  • blk.26.ffn_gate_exps.weight
    Q3_K
    [4096, 14336, 4]
  • blk.26.ffn_gate_inp.weight
    F32
    [4096, 4]
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    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.27
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    Q3_K
    [4096, 1024]
  • blk.27.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
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    Q3_K
    [4096, 14336, 4]
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    F32
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    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.28
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    Q3_K
    [4096, 1024]
  • blk.28.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
  • blk.28.ffn_gate_exps.weight
    Q3_K
    [4096, 14336, 4]
  • blk.28.ffn_gate_inp.weight
    F32
    [4096, 4]
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    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.29
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    Q3_K
    [4096, 1024]
  • blk.29.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
  • blk.29.attn_q.weight
    Q3_K
    [4096, 4096]
  • blk.29.attn_v.weight
    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
  • blk.29.ffn_gate_exps.weight
    Q3_K
    [4096, 14336, 4]
  • blk.29.ffn_gate_inp.weight
    F32
    [4096, 4]
  • blk.29.ffn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 14336, 4]
    • blk.30
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    Q3_K
    [4096, 1024]
  • blk.30.attn_norm.weight
    F32
    [4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 4096]
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    Q3_K
    [4096, 1024]
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    Q3_K
    [14336, 4096, 4]
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    Q3_K
    [4096, 14336, 4]
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    F32
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    F32
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    Q3_K
    [4096, 14336, 4]
    • blk.31
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    Q3_K
    [4096, 1024]
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    F32
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    Q3_K
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    Q3_K
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    Q3_K
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    Q3_K
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    Q3_K
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    F32
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    F32
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    Q3_K
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