Zero9Tech/ qwen3.5-9b-data-science:latest

7 3 weeks ago

Optimized for real-world data science decisions. It delivers method selection, alternative comparison, and validation planning in one response. Trained on 16.5K expert insight dialogues, it focuses on actionable guidance over generic theory.

... /
model
cbc21603edbe · 5.6GB
    Metadata
  • general.architecture
    qwen35
  • general.file_type
    Q4_K_M
  • 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
    4096
  • qwen35.feed_forward_length
    12288
  • 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.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
    248055
  • tokenizer.ggml.pre
    qwen35
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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