Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.
1b
8b
12.8K Pulls Updated 2 months ago
9c7d1fb37427 · 1.2GB
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general.architecturellama
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general.basenameLlama-Guard-3
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general.file_type9
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general.languages[en, de, fr, it, pt, ...]
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general.licensellama3.2
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general.nameLlama Guard 3 1B
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general.quantization_version2
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general.size_label1B
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general.tags[facebook, meta, pytorch, llama, llama-3, ...]
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general.typemodel
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llama.attention.head_count32
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llama.attention.head_count_kv8
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llama.attention.key_length64
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.attention.value_length64
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llama.block_count16
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llama.context_length131072
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llama.embedding_length2048
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llama.feed_forward_length8192
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llama.rope.dimension_count64
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llama.rope.freq_base500000
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llama.vocab_size128256
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tokenizer.ggml.bos_token_id128000
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tokenizer.ggml.eos_token_id128009
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tokenizer.ggml.merges[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.prellama-bpe
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tokenizer.ggml.token_type[1, 1, 1, 1, 1, ...]
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tokenizer.ggml.tokens[!, ", #, $, %, ...]
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Metadata
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