Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.

1b 8b

12.8K 2 months ago

d171ca1a0940 · 845MB
    Metadata
  • general.architecture
    llama
  • general.basename
    Llama-Guard-3
  • general.file_type
    13
  • general.languages
    [en, de, fr, it, pt, ...]
  • general.license
    llama3.2
  • general.name
    Llama Guard 3 1B
  • general.quantization_version
    2
  • general.size_label
    1B
  • general.tags
    [facebook, meta, pytorch, llama, llama-3, ...]
  • general.type
    model
  • llama.attention.head_count
    32
  • llama.attention.head_count_kv
    8
  • llama.attention.key_length
    64
  • llama.attention.layer_norm_rms_epsilon
    1e-05
  • llama.attention.value_length
    64
  • llama.block_count
    16
  • llama.context_length
    131072
  • llama.embedding_length
    2048
  • llama.feed_forward_length
    8192
  • llama.rope.dimension_count
    64
  • llama.rope.freq_base
    500000
  • llama.vocab_size
    128256
  • tokenizer.ggml.bos_token_id
    128000
  • tokenizer.ggml.eos_token_id
    128009
  • tokenizer.ggml.merges
    [Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
  • tokenizer.ggml.model
    gpt2
  • tokenizer.ggml.pre
    llama-bpe
  • tokenizer.ggml.token_type
    [1, 1, 1, 1, 1, ...]
  • tokenizer.ggml.tokens
    [!, ", #, $, %, ...]
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