Abyssal/ intent-classifier-general-acv3:1.5b

395 4 days ago

The most accurate model in the family, and the best at telling lookalike intents apart. Define intents at prompt time, no retraining. It always returns the single best match, and refuses only if you add a catch-all intent.

1.5b
... /
model
e975513acbf2 · 3.1GB
    Metadata
  • general.architecture
    qwen2
  • general.file_type
    F16
  • qwen2.attention.head_count
    12
  • qwen2.attention.head_count_kv
    2
  • qwen2.attention.layer_norm_rms_epsilon
    1e-06
  • qwen2.block_count
    28
  • qwen2.context_length
    32768
  • qwen2.embedding_length
    1536
  • qwen2.feed_forward_length
    8960
  • qwen2.rope.freq_base
    1e+06
  • tokenizer.ggml.eos_token_id
    151645
  • tokenizer.ggml.eos_token_ids
    [151645, 151643]
  • tokenizer.ggml.merges
    [Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.padding_token_id
    151643
  • tokenizer.ggml.pre
    qwen2
  • tokenizer.ggml.scores
    [0, 1, 2, 3, 4, ...]
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
    • Tensor
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