A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.
3.8b
200K Pulls Updated 3 months ago
b5374915da53 · 2.2GB
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general.architecturephi3
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general.basenamePhi-3.5
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general.file_type2
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general.finetuneinstruct
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general.languages[multilingual]
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general.licensemit
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general.license.linkhttps://huggingface.co/microsoft/Phi-3.5-mini-instruct/resolve/main/LICENSE
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general.namePhi 3.5 Mini Instruct
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general.quantization_version2
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general.size_labelmini
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general.tags[nlp, code, text-generation]
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general.typemodel
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phi3.attention.head_count32
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phi3.attention.head_count_kv32
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phi3.attention.layer_norm_rms_epsilon1e-05
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phi3.attention.sliding_window262144
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phi3.block_count32
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phi3.context_length131072
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phi3.embedding_length3072
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phi3.feed_forward_length8192
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phi3.rope.dimension_count96
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phi3.rope.freq_base10000
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phi3.rope.scaling.attn_factor1.1902381
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phi3.rope.scaling.original_context_length4096
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tokenizer.ggml.add_bos_tokenfalse
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tokenizer.ggml.add_eos_tokenfalse
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tokenizer.ggml.bos_token_id1
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tokenizer.ggml.eos_token_id32000
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tokenizer.ggml.modelllama
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tokenizer.ggml.padding_token_id32000
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tokenizer.ggml.predefault
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tokenizer.ggml.scores[-1000, -1000, -1000, 0, 0, ...]
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tokenizer.ggml.token_type[3, 3, 4, 6, 6, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
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tokenizer.ggml.unknown_token_id0
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Metadata
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