siddhu19/ flint-unsloth:q2_xl

50 2 weeks ago

GGUF quantizations of Flint 39.8B by Recursive AI for coding agents, with Unsloth's Dynamic 3.0 quantization method

... /
model
7f43dd99e7d5 · 14GB
    Metadata
  • general.architecture
    flint
  • general.file_type
    Q2_K
  • flint.attention.head_count
    32
  • flint.attention.head_count_kv
    4
  • flint.attention.key_length
    128
  • flint.attention.layer_norm_rms_epsilon
    1e-06
  • flint.attention.rope_pattern
    [false, false, true, true, true, ...]
  • flint.attention.sliding_window
    513
  • flint.attention.sliding_window_pattern
    [false, false, true, true, true, ...]
  • flint.attention.value_length
    128
  • flint.block_count
    49
  • flint.context_length
    262144
  • flint.embedding_length
    2048
  • flint.expert_count
    256
  • flint.expert_feed_forward_length
    512
  • flint.expert_gating_func
    2
  • flint.expert_shared_count
    2
  • flint.expert_shared_feed_forward_length
    1024
  • flint.expert_used_count
    6
  • flint.expert_weights_norm
    true
  • flint.expert_weights_scale
    1
  • flint.feed_forward_length
    6144
  • flint.leading_dense_block_count
    2
  • flint.rope.freq_base
    10000
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.bos_token_id
    150000
  • tokenizer.ggml.eog_token_ids
    [150001, 150003, 150005, 150018]
  • tokenizer.ggml.eos_token_id
    150001
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ t, ĠĠ ĠĠ, i n, Ġ a, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    150001
  • tokenizer.ggml.pre
    flint
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • quantize.imatrix.chunks_count
    687
  • quantize.imatrix.dataset
    unsloth_calibration_flint-preview.txt
  • quantize.imatrix.entries_count
    531
  • quantize.imatrix.file
    flint-preview-GGUF/imatrix_unsloth.gguf_file
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    IQ2_S
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    F32
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    IQ2_S
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    IQ2_XXS
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    F32
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    IQ2_XXS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    IQ2_XXS
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    Q4_K
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    F32
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    IQ2_XXS
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    Q4_K
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ3_XXS
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    IQ4_XS
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    IQ2_XXS
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    BF16
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    IQ4_XS
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    F32
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    IQ2_XXS
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    Q5_K
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    IQ2_XXS
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    BF16
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    Q5_K
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    F32
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    IQ2_XXS
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    Q5_K
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    Q5_K
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    IQ2_XXS
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    BF16
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    Q5_K
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    F32
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    IQ2_XXS
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    Q5_K
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    IQ3_XXS
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    IQ2_XXS
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    BF16
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    IQ3_XXS
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    F32
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    IQ2_XXS
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    IQ3_XXS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    Q4_K
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    IQ2_XXS
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    BF16
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    Q4_K
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    F32
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    IQ2_XXS
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    Q4_K
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    IQ3_S
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    F32
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    F32
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    IQ3_S
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    IQ3_S
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    F32
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    F32
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    IQ3_S
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    IQ2_S
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    IQ4_XS
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    IQ2_XXS
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    BF16
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    IQ4_XS
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  • blk.38.ffn_norm.weight
    F32
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    IQ2_XXS
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  • blk.38.ffn_up_shexp.weight
    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    IQ4_XS
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    IQ2_XXS
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    BF16
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    IQ4_XS
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    F32
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    IQ2_XXS
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  • blk.39.ffn_up_shexp.weight
    IQ4_XS
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    IQ4_XS
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  • blk.40.attn_k_norm.weight
    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    Q5_K
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    IQ2_XXS
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    BF16
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    Q5_K
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    F32
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    IQ2_XXS
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  • blk.40.ffn_up_shexp.weight
    Q5_K
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    IQ4_XS
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  • blk.41.attn_k_norm.weight
    F32
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    F32
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    IQ4_XS
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  • blk.41.attn_q.weight
    IQ4_XS
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  • blk.41.attn_q_norm.weight
    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    IQ4_XS
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    IQ2_XXS
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    BF16
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    IQ4_XS
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  • blk.41.ffn_norm.weight
    F32
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    IQ2_XXS
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  • blk.41.ffn_up_shexp.weight
    IQ4_XS
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    IQ4_XS
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  • blk.42.attn_k_norm.weight
    F32
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    F32
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  • blk.42.attn_output.weight
    IQ4_XS
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    IQ4_XS
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  • blk.42.attn_q_norm.weight
    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    IQ4_XS
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    IQ2_XXS
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    BF16
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    IQ4_XS
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    F32
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    IQ2_XXS
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  • blk.42.ffn_up_shexp.weight
    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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  • blk.43.attn_q_norm.weight
    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    Q5_K
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    IQ2_XXS
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    BF16
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    Q5_K
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    F32
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    IQ2_XXS
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    Q5_K
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_S
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    Q5_K
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    IQ2_XXS
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    BF16
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    Q5_K
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    F32
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    IQ2_XXS
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    Q5_K
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    IQ4_XS
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  • blk.45.attn_k_norm.weight
    F32
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    F32
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    IQ4_XS
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    IQ4_XS
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    F32
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    F32
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    IQ4_XS
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    IQ2_XXS
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    Q5_K
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    IQ2_XXS
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    BF16
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    Q5_K
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  • blk.45.ffn_norm.weight
    F32
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    IQ2_XXS
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    Q5_K
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  • blk.46.attn_k.weight
    IQ4_XS
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  • blk.46.attn_k_norm.weight
    F32
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  • blk.46.attn_norm.weight
    F32
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    IQ4_XS
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    IQ4_XS
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  • blk.46.attn_q_norm.weight
    F32
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  • blk.46.attn_sinks.weight
    F32
    [32]
  • blk.46.attn_v.weight
    IQ4_XS
    [2048, 512]
  • blk.46.ffn_down_exps.weight
    IQ3_XXS
    [512, 2048, 256]
  • blk.46.ffn_down_shexp.weight
    Q5_K
    [1024, 2048]
  • blk.46.ffn_gate_exps.weight
    Q2_K
    [2048, 512, 256]
  • blk.46.ffn_gate_inp.weight
    BF16
    [2048, 256]
  • blk.46.ffn_gate_shexp.weight
    Q5_K
    [2048, 1024]
  • blk.46.ffn_norm.weight
    F32
    [2048]
  • blk.46.ffn_up_exps.weight
    Q2_K
    [2048, 512, 256]
  • blk.46.ffn_up_shexp.weight
    Q5_K
    [2048, 1024]
    • blk.47
  • blk.47.attn_k.weight
    IQ3_S
    [2048, 512]
  • blk.47.attn_k_norm.weight
    F32
    [128]
  • blk.47.attn_norm.weight
    F32
    [2048]
  • blk.47.attn_output.weight
    IQ3_S
    [4096, 2048]
  • blk.47.attn_q.weight
    IQ3_S
    [2048, 4096]
  • blk.47.attn_q_norm.weight
    F32
    [128]
  • blk.47.attn_sinks.weight
    F32
    [32]
  • blk.47.attn_v.weight
    IQ3_S
    [2048, 512]
  • blk.47.ffn_down_exps.weight
    IQ2_S
    [512, 2048, 256]
  • blk.47.ffn_down_shexp.weight
    Q5_K
    [1024, 2048]
  • blk.47.ffn_gate_exps.weight
    IQ2_XXS
    [2048, 512, 256]
  • blk.47.ffn_gate_inp.weight
    BF16
    [2048, 256]
  • blk.47.ffn_gate_shexp.weight
    Q5_K
    [2048, 1024]
  • blk.47.ffn_norm.weight
    F32
    [2048]
  • blk.47.ffn_up_exps.weight
    IQ2_XXS
    [2048, 512, 256]
  • blk.47.ffn_up_shexp.weight
    Q5_K
    [2048, 1024]
    • blk.48
  • blk.48.attn_k.weight
    IQ3_XXS
    [2048, 512]
  • blk.48.attn_k_norm.weight
    F32
    [128]
  • blk.48.attn_norm.weight
    F32
    [2048]
  • blk.48.attn_output.weight
    IQ3_XXS
    [4096, 2048]
  • blk.48.attn_q.weight
    IQ3_XXS
    [2048, 4096]
  • blk.48.attn_q_norm.weight
    F32
    [128]
  • blk.48.attn_sinks.weight
    F32
    [32]
  • blk.48.attn_v.weight
    IQ3_XXS
    [2048, 512]
  • blk.48.ffn_down_exps.weight
    IQ2_S
    [512, 2048, 256]
  • blk.48.ffn_down_shexp.weight
    Q8_0
    [1024, 2048]
  • blk.48.ffn_gate_exps.weight
    IQ2_S
    [2048, 512, 256]
  • blk.48.ffn_gate_inp.weight
    BF16
    [2048, 256]
  • blk.48.ffn_gate_shexp.weight
    Q8_0
    [2048, 1024]
  • blk.48.ffn_norm.weight
    F32
    [2048]
  • blk.48.ffn_up_exps.weight
    IQ2_S
    [2048, 512, 256]
  • blk.48.ffn_up_shexp.weight
    Q8_0
    [2048, 1024]
  • output.weight
    Q6_K
    [2048, 150144]
  • output_norm.weight
    F32
    [2048]