The "Home" model is a fine tuning of the Phi-2 model from Microsoft. The model is able to control devices in the user's smart home as well as perform basic question and answering.
2,077 Pulls Updated 10 months ago
232c3da265f7 · 1.1GB
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general.architecturephi2
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general.file_type10
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general.namePhi2
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general.quantization_version2
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phi2.attention.head_count32
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phi2.attention.head_count_kv32
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phi2.attention.layer_norm_epsilon1e-05
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phi2.block_count32
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phi2.context_length2048
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phi2.embedding_length2560
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phi2.feed_forward_length10240
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phi2.rope.dimension_count32
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tokenizer.ggml.add_bos_tokenfalse
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tokenizer.ggml.bos_token_id50296
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tokenizer.ggml.eos_token_id50297
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tokenizer.ggml.merges[Ġ t, Ġ a, h e, i n, r e, ...]
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tokenizer.ggml.modelgpt2
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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.24.attn_norm.weightF32[2560]
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blk.24.attn_output.biasF32[2560]
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blk.24.attn_q.biasF32[2560]
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blk.24.attn_q.weightQ2_K[2560, 2560]
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blk.24.attn_v.biasF32[2560]
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blk.24.attn_v.weightQ3_K[2560, 2560]
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blk.24.ffn_down.biasF32[2560]
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blk.24.ffn_down.weightQ3_K[10240, 2560]
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blk.24.ffn_up.biasF32[10240]
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blk.24.ffn_up.weightQ2_K[2560, 10240]
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blk.25.attn_k.biasF32[2560]
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blk.25.attn_k.weightQ2_K[2560, 2560]
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blk.25.attn_norm.biasF32[2560]
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blk.25.attn_norm.weightF32[2560]
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blk.25.attn_output.biasF32[2560]
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blk.25.attn_output.weightQ3_K[2560, 2560]
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blk.25.attn_q.biasF32[2560]
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blk.25.attn_q.weightQ2_K[2560, 2560]
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blk.25.attn_v.biasF32[2560]
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blk.25.attn_v.weightQ3_K[2560, 2560]
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blk.25.ffn_down.biasF32[2560]
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blk.25.ffn_down.weightQ3_K[10240, 2560]
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blk.25.ffn_up.biasF32[10240]
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blk.25.ffn_up.weightQ2_K[2560, 10240]
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blk.26.attn_k.biasF32[2560]
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blk.26.attn_k.weightQ2_K[2560, 2560]
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blk.26.attn_norm.biasF32[2560]
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blk.26.attn_norm.weightF32[2560]
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blk.26.attn_output.biasF32[2560]
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blk.26.attn_output.weightQ3_K[2560, 2560]
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blk.26.attn_q.biasF32[2560]
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blk.26.attn_q.weightQ2_K[2560, 2560]
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blk.26.attn_v.biasF32[2560]
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blk.26.attn_v.weightQ3_K[2560, 2560]
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blk.26.ffn_down.biasF32[2560]
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blk.26.ffn_down.weightQ3_K[10240, 2560]
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blk.26.ffn_up.biasF32[10240]
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blk.26.ffn_up.weightQ2_K[2560, 10240]
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blk.27.attn_k.biasF32[2560]
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blk.27.attn_k.weightQ2_K[2560, 2560]
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blk.27.attn_norm.biasF32[2560]
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blk.27.attn_norm.weightF32[2560]
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blk.27.attn_output.biasF32[2560]
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blk.27.attn_output.weightQ3_K[2560, 2560]
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blk.27.attn_q.biasF32[2560]
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blk.27.attn_q.weightQ2_K[2560, 2560]
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blk.27.attn_v.biasF32[2560]
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blk.27.attn_v.weightQ3_K[2560, 2560]
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blk.27.ffn_down.biasF32[2560]
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blk.27.ffn_down.weightQ3_K[10240, 2560]
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blk.27.ffn_up.biasF32[10240]
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blk.27.ffn_up.weightQ2_K[2560, 10240]
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blk.28.attn_k.biasF32[2560]
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blk.28.attn_k.weightQ2_K[2560, 2560]
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blk.28.attn_norm.biasF32[2560]
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blk.28.attn_norm.weightF32[2560]
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blk.28.attn_output.biasF32[2560]
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blk.28.attn_output.weightQ3_K[2560, 2560]
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blk.28.attn_q.biasF32[2560]
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blk.28.attn_q.weightQ2_K[2560, 2560]
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blk.28.attn_v.biasF32[2560]
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blk.28.ffn_down.biasF32[2560]
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blk.28.ffn_up.biasF32[10240]
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blk.28.ffn_up.weightQ2_K[2560, 10240]
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blk.29.attn_k.biasF32[2560]
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blk.29.attn_k.weightQ2_K[2560, 2560]
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blk.29.attn_norm.biasF32[2560]
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blk.29.attn_norm.weightF32[2560]
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blk.29.attn_output.biasF32[2560]
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blk.29.attn_output.weightQ3_K[2560, 2560]
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blk.29.attn_q.biasF32[2560]
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blk.29.attn_q.weightQ2_K[2560, 2560]
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blk.29.attn_v.biasF32[2560]
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blk.29.attn_v.weightQ3_K[2560, 2560]
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blk.29.ffn_down.biasF32[2560]
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blk.29.ffn_down.weightQ3_K[10240, 2560]
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blk.29.ffn_up.biasF32[10240]
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blk.29.ffn_up.weightQ2_K[2560, 10240]
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blk.30.attn_k.biasF32[2560]
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blk.30.attn_k.weightQ2_K[2560, 2560]
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blk.30.attn_norm.biasF32[2560]
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blk.30.attn_norm.weightF32[2560]
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blk.30.attn_output.biasF32[2560]
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blk.30.attn_output.weightQ3_K[2560, 2560]
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blk.30.attn_q.biasF32[2560]
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blk.30.attn_q.weightQ2_K[2560, 2560]
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blk.30.attn_v.biasF32[2560]
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blk.30.attn_v.weightQ3_K[2560, 2560]
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blk.30.ffn_down.biasF32[2560]
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blk.30.ffn_down.weightQ3_K[10240, 2560]
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blk.30.ffn_up.biasF32[10240]
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blk.30.ffn_up.weightQ2_K[2560, 10240]
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blk.31.attn_k.biasF32[2560]
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blk.31.attn_k.weightQ2_K[2560, 2560]
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blk.31.attn_norm.biasF32[2560]
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blk.31.attn_norm.weightF32[2560]
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blk.31.attn_output.biasF32[2560]
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blk.31.attn_output.weightQ3_K[2560, 2560]
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blk.31.attn_q.biasF32[2560]
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blk.31.attn_q.weightQ2_K[2560, 2560]
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blk.31.attn_v.biasF32[2560]
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blk.31.attn_v.weightQ3_K[2560, 2560]
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blk.31.ffn_down.biasF32[2560]
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blk.31.ffn_down.weightQ3_K[10240, 2560]
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blk.31.ffn_up.biasF32[10240]
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blk.31.ffn_up.weightQ2_K[2560, 10240]
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output.biasF32[51200]
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output.weightQ6_K[2560, 51200]
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output_norm.biasF32[2560]
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output_norm.weightF32[2560]
Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
blk.7
blk.8
blk.9
blk.10
blk.11
blk.12
blk.13
blk.14
blk.15
blk.16
blk.17
blk.18
blk.19
blk.20
blk.21
blk.22
blk.23
blk.24
blk.25
blk.26
blk.27
blk.28
blk.29
blk.30
blk.31