LESSTHANSUPER/ DARKEST_UNIVERSE-Mistral_Nemo-29b:Q5_K_S

2,627 11 months ago

Uncensored storytelling model based on Mistral Nemo. Made by DavidAU (Huggingface).

tools
... /
model
b68abfc478e4 · 20GB
    Metadata
  • general.architecture
    llama
  • general.file_type
    Q5_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
    102
  • llama.context_length
    1024000
  • llama.embedding_length
    5120
  • llama.feed_forward_length
    14336
  • llama.rope.dimension_count
    128
  • llama.rope.freq_base
    1e+06
  • llama.vocab_size
    131074
  • tokenizer.ggml.add_bos_token
    true
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_space_prefix
    false
  • tokenizer.ggml.bos_token_id
    1
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.pre
    tekken
  • tokenizer.ggml.token_type
    [3, 3, 3, 4, 4, ...]
  • tokenizer.ggml.tokens
    [<unk>, <s>, </s>, [INST], [/INST], ...]
  • tokenizer.ggml.unknown_token_id
    0
  • mradermacher.convert_type
    hf
  • mradermacher.quantize_version
    2
  • mradermacher.quantized_at
    2024-11-11T07:22:35+01:00
  • mradermacher.quantized_by
    mradermacher
  • mradermacher.quantized_on
    db2
  • quantize.imatrix.chunks_count
    321
  • quantize.imatrix.dataset
    imatrix-training-full-3
  • quantize.imatrix.entries_count
    714
  • quantize.imatrix.file
    MN-DARKEST-UNIVERSE-29B-i1-GGUF/imatrix.dat
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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  • blk.34.ffn_norm.weight
    F32
    [5120]
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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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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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
    [14336, 5120]
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
    [5120]
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    F32
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    Q5_K
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    Q5_K
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    Q5_K
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