tobestyledintro/ Ternary-Bonsai-2-27B:latest

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Mirror of Prism ML's Bonsai 2 27B ternary GGUF packs (PQ2_0 and PTQ1_0): a 27B hybrid-attention reasoning model in 6.70 GiB or 5.53 GiB, 262K context, vision and tool calling, Apache-2.0. Requires Prism ML's llama.cpp fork — stock Ollama cannot load

vision tools thinking 27b
... /
model
3907dc1658db · 7.2GB
    Metadata
  • general.architecture
    qwen35
  • general.file_type
    (!unknown_file_type 141!)
  • qwen35.attention.head_count
    24
  • qwen35.attention.head_count_kv
    4
  • qwen35.attention.key_length
    256
  • qwen35.attention.layer_norm_rms_epsilon
    1e-06
  • qwen35.attention.value_length
    256
  • qwen35.block_count
    64
  • qwen35.context_length
    262144
  • qwen35.embedding_length
    5120
  • qwen35.feed_forward_length
    17408
  • qwen35.full_attention_interval
    4
  • qwen35.rope.dimension_count
    64
  • qwen35.rope.dimension_sections
    [11, 11, 10, 0]
  • qwen35.rope.freq_base
    1e+07
  • qwen35.ssm.conv_kernel
    4
  • qwen35.ssm.group_count
    16
  • qwen35.ssm.inner_size
    6144
  • qwen35.ssm.state_size
    128
  • qwen35.ssm.time_step_rank
    48
  • tokenizer.ggml.add_bos_token
    false
  • tokenizer.ggml.bos_token_id
    248044
  • tokenizer.ggml.eos_token_id
    248046
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    248044
  • tokenizer.ggml.pre
    qwen35
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
  • prism.hadamard.axis
    input-last-dimension
  • prism.hadamard.block_size
    1024
  • prism.hadamard.gdn_v_grouped
    true
  • prism.hadamard.inverse_weight_names
    [token_embd.weight]
  • prism.hadamard.sign_mode
    explicit
  • prism.hadamard.sign_values
    [-1, -1, -1, 1, -1, ...]
  • prism.hadamard.sign_widths
    [5120, 6144, 17408]
  • prism.hadamard.transform
    normalized-sylvester-walsh-hadamard
  • prism.hadamard.version
    1
  • prism.hadamard.weight_names
    [output.weight, blk.0.attn_qkv.weight, blk.0.attn_gate.weight, blk.0.ssm_out.weight, blk.0.ffn_down.weight, ...]
    • Tensor
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    [5120, 248320]
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    [5120]
  • blk.0.attn_qkv.weight
    (!unknown_type 142!)
    [5120, 10240]
  • blk.0.ffn_down.weight
    (!unknown_type 142!)
    [17408, 5120]
  • blk.0.ffn_gate.weight
    (!unknown_type 142!)
    [5120, 17408]
  • blk.0.ffn_up.weight
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    [5120, 17408]
  • blk.0.post_attention_norm.weight
    F32
    [5120]
  • blk.0.ssm_a
    F32
    [48]
  • blk.0.ssm_alpha.weight
    BF16
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  • blk.0.ssm_beta.weight
    BF16
    [5120, 48]
  • blk.0.ssm_conv1d.weight
    F32
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  • blk.0.ssm_dt.bias
    F32
    [48]
  • blk.0.ssm_norm.weight
    F32
    [128]
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  • blk.2.post_attention_norm.weight
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  • blk.2.ssm_a
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    • blk.3
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    [48]
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    BF16
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    [48]
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