MiniCPM-V surpasses proprietary models such as GPT-4V, Gemini Pro, Qwen-VL and Claude 3 in overall performance, and support multimodal conversation for over 30 languages.
vision
38.5K Pulls Updated 6 months ago
78dbc303d870 · 3.8GB
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general.architecturellama
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general.file_type27
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general.namemodel
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general.quantization_version2
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llama.attention.head_count32
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llama.attention.head_count_kv8
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.block_count32
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llama.context_length8192
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llama.embedding_length4096
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llama.feed_forward_length14336
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llama.rope.dimension_count128
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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_id128001
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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.padding_token_id0
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tokenizer.ggml.scores[0, 0, 0, 0, 0, ...]
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tokenizer.ggml.token_type[1, 1, 1, 1, 1, ...]
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tokenizer.ggml.tokens[!, ", #, $, %, ...]
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tokenizer.ggml.unknown_token_id128002
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Metadata
Tensor
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