Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.
vision
11b
90b
7,350 Pulls Updated 9 hours ago
db3aa8b1380d · 93GB
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general.architecturemllama
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general.file_type7
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general.nameModel
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general.quantization_version2
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general.size_label88B
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general.typemodel
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mllama.attention.cross_attention_layers[3, 8, 13, 18, 23, ...]
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mllama.attention.head_count64
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mllama.attention.head_count_kv8
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mllama.attention.layer_norm_rms_epsilon1e-05
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mllama.block_count100
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mllama.context_length131072
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mllama.embedding_length8192
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mllama.feed_forward_length28672
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mllama.rope.dimension_count128
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mllama.rope.freq_base500000
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mllama.vocab_size128256
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tokenizer.ggml.add_bos_tokentrue
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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.padding_token_id128004
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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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blk.98.cross_attn_k_proj.weightQ8_0[8192, 1024]
-
blk.98.cross_attn_mlp_gateF32[1]
-
blk.98.cross_attn_o_proj.weightQ8_0[8192, 8192]
-
blk.98.cross_attn_q_norm.weightF32[128]
-
blk.98.cross_attn_q_proj.weightQ8_0[8192, 8192]
-
blk.98.cross_attn_v_proj.weightQ8_0[8192, 1024]
-
blk.98.ffn_down.weightQ8_0[28672, 8192]
-
blk.98.ffn_gate.weightQ8_0[8192, 28672]
-
blk.98.ffn_norm.weightF32[8192]
-
blk.98.ffn_up.weightQ8_0[8192, 28672]
-
blk.99.attn_k.weightQ8_0[8192, 1024]
-
blk.99.attn_norm.weightF32[8192]
-
blk.99.attn_output.weightQ8_0[8192, 8192]
-
blk.99.attn_q.weightQ8_0[8192, 8192]
-
blk.99.attn_v.weightQ8_0[8192, 1024]
-
blk.99.ffn_down.weightQ8_0[28672, 8192]
-
blk.99.ffn_gate.weightQ8_0[8192, 28672]
-
blk.99.ffn_norm.weightF32[8192]
-
blk.99.ffn_up.weightQ8_0[8192, 28672]
-
output.weightQ8_0[8192, 128256]
-
rope_freqs.weightF32[64]
-
output_norm.weightF32[8192]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
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