bonsai-2:4b

3 an hour ago

Bonsai 2 from [Prism ML](https://prismml.com) is a family of vision models built for ternary weights – smaller models with close to full-precision quality.

vision tools thinking 2b 4b 9b 27b
... /
model
64a5183b4492 · 1.2GB
    Metadata
  • general.architecture
    qwen35
  • general.file_type
    (!unknown_file_type 41!)
  • qwen35.attention.head_count
    16
  • 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
    32
  • qwen35.context_length
    262144
  • qwen35.embedding_length
    2560
  • qwen35.feed_forward_length
    9216
  • 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
    4096
  • qwen35.ssm.state_size
    128
  • qwen35.ssm.time_step_rank
    32
  • 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
    512
  • 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
    [2560, 4096, 9216]
  • prism.hadamard.tied_output
    true
  • prism.hadamard.transform
    normalized-sylvester-walsh-hadamard
  • prism.hadamard.version
    2
  • prism.hadamard.weight_names
    [blk.0.attn_qkv.weight, blk.0.attn_gate.weight, blk.0.ssm_out.weight, blk.0.ffn_down.weight, blk.0.ffn_gate.weight, ...]
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