laguna-xs.2:q4_K_M

231 19 hours ago

Laguna XS.2 is a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token designed for agentic coding and long-horizon work on a local machine.

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model
59885ff3cab3 · 23GB
    Metadata
  • general.architecture
    laguna
  • general.file_type
    Q4_K_M
  • laguna.attention.gating_type
    1
  • laguna.attention.head_count
    [48, 64, 64, 64, 48, ...]
  • laguna.attention.head_count_kv
    8
  • laguna.attention.key_length
    128
  • laguna.attention.layer_norm_rms_epsilon
    1e-06
  • laguna.attention.layer_types
    [0, 1, 1, 1, 0, ...]
  • laguna.attention.qk_norm
    true
  • laguna.attention.sink_enabled
    false
  • laguna.attention.sliding_window
    512
  • laguna.attention.sliding_window_pattern
    [false, true, true, true, false, ...]
  • laguna.attention.value_length
    128
  • laguna.block_count
    40
  • laguna.context_length
    131072
  • laguna.decoder_sparse_step
    1
  • laguna.dense_layers
    [0]
  • laguna.embedding_length
    2048
  • laguna.expert_count
    256
  • laguna.expert_feed_forward_length
    512
  • laguna.expert_gating_func
    2
  • laguna.expert_shared_count
    1
  • laguna.expert_shared_feed_forward_length
    512
  • laguna.expert_used_count
    8
  • laguna.expert_weights_norm
    true
  • laguna.expert_weights_scale
    2.5
  • laguna.feed_forward_length
    8192
  • laguna.leading_dense_block_count
    1
  • laguna.rope.dimension_count
    64
  • laguna.rope.freq_base
    500000
  • laguna.rope.partial_rotary_factor
    0.5
  • laguna.rope.scaling.attn_factor
    1
  • laguna.rope.scaling.beta_fast
    64
  • laguna.rope.scaling.beta_slow
    1
  • laguna.rope.scaling.factor
    32
  • laguna.rope.scaling.original_context_length
    4096
  • laguna.rope.scaling.type
    yarn
  • laguna.rope.swa.dimension_count
    128
  • laguna.rope.swa.freq_base
    10000
  • laguna.rope.swa.partial_rotary_factor
    1
  • laguna.rope.swa.scaling.factor
    1
  • laguna.rope.swa.scaling.type
    default
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.add_eos_token
    false
  • tokenizer.ggml.add_padding_token
    false
  • tokenizer.ggml.add_unknown_token
    false
  • tokenizer.ggml.bos_token_id
    2
  • tokenizer.ggml.eos_token_id
    2
  • tokenizer.ggml.eos_token_ids
    [2, 24]
  • tokenizer.ggml.merges
    [i n, Ġ t, Ġ Ġ, e r, Ġ a, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    9
  • tokenizer.ggml.pre
    laguna
  • tokenizer.ggml.scores
    [0, 1, 2, 3, 4, ...]
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.tokens
    [〈|UNK|〉, 〈|CODE_START|〉, 〈|EOS|〉, 〈|CODE_END|〉, 〈|META_START|〉, ...]
  • tokenizer.ggml.unknown_token_id
    0
    • Tensor
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    F32
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    Q6_K
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    BF16
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    F32
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    Q6_K
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    F32
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    Q6_K
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    BF16
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    BF16
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    F32
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    F32
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    BF16
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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    F32
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    BF16
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