A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.
tools
8x7b
8x22b
489K Pulls Updated 4 months ago
dd2e9dd17a60 · 93GB
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general.architecturellama
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general.file_type1
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general.namemistralai
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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_length32768
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llama.embedding_length4096
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llama.expert_count8
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llama.expert_used_count2
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llama.feed_forward_length14336
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llama.rope.dimension_count128
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llama.rope.freq_base1e+06
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tokenizer.ggml.add_bos_tokentrue
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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_id2
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tokenizer.ggml.merges[▁ t, i n, e r, ▁ a, h e, ...]
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tokenizer.ggml.modelllama
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tokenizer.ggml.scores[0, 0, 0, 0, 0, ...]
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tokenizer.ggml.token_type[2, 3, 3, 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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blk.10.ffn_up.4.weightF16[4096, 14336]
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blk.10.ffn_up.6.weightF16[4096, 14336]
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blk.11.ffn_up.5.weightF16[4096, 14336]
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blk.11.ffn_up.6.weightF16[4096, 14336]
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blk.12.attn_k.weightF16[4096, 1024]
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blk.12.ffn_down.4.weightF16[14336, 4096]
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blk.12.ffn_down.5.weightF16[14336, 4096]
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blk.12.ffn_up.4.weightF16[4096, 14336]
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blk.12.ffn_up.6.weightF16[4096, 14336]
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blk.13.attn_k.weightF16[4096, 1024]
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blk.13.ffn_up.3.weightF16[4096, 14336]
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blk.13.ffn_up.4.weightF16[4096, 14336]
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blk.13.ffn_up.5.weightF16[4096, 14336]
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blk.13.ffn_up.6.weightF16[4096, 14336]
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blk.30.ffn_gate.2.weightF16[4096, 14336]
-
blk.30.ffn_gate.3.weightF16[4096, 14336]
-
blk.30.ffn_gate.4.weightF16[4096, 14336]
-
blk.30.ffn_gate.5.weightF16[4096, 14336]
-
blk.30.ffn_gate.6.weightF16[4096, 14336]
-
blk.30.ffn_gate.7.weightF16[4096, 14336]
-
blk.30.ffn_gate_inp.weightF16[4096, 8]
-
blk.30.ffn_norm.weightF32[4096]
-
blk.30.ffn_up.0.weightF16[4096, 14336]
-
blk.30.ffn_up.1.weightF16[4096, 14336]
-
blk.30.ffn_up.2.weightF16[4096, 14336]
-
blk.30.ffn_up.3.weightF16[4096, 14336]
-
blk.30.ffn_up.4.weightF16[4096, 14336]
-
blk.30.ffn_up.5.weightF16[4096, 14336]
-
blk.30.ffn_up.6.weightF16[4096, 14336]
-
blk.30.ffn_up.7.weightF16[4096, 14336]
-
blk.31.attn_k.weightF16[4096, 1024]
-
blk.31.attn_norm.weightF32[4096]
-
blk.31.attn_output.weightF16[4096, 4096]
-
blk.31.attn_q.weightF16[4096, 4096]
-
blk.31.attn_v.weightF16[4096, 1024]
-
blk.31.ffn_down.0.weightF16[14336, 4096]
-
blk.31.ffn_down.1.weightF16[14336, 4096]
-
blk.31.ffn_down.2.weightF16[14336, 4096]
-
blk.31.ffn_down.3.weightF16[14336, 4096]
-
blk.31.ffn_down.4.weightF16[14336, 4096]
-
blk.31.ffn_down.5.weightF16[14336, 4096]
-
blk.31.ffn_down.6.weightF16[14336, 4096]
-
blk.31.ffn_down.7.weightF16[14336, 4096]
-
blk.31.ffn_gate.0.weightF16[4096, 14336]
-
blk.31.ffn_gate.1.weightF16[4096, 14336]
-
blk.31.ffn_gate.2.weightF16[4096, 14336]
-
blk.31.ffn_gate.3.weightF16[4096, 14336]
-
blk.31.ffn_gate.4.weightF16[4096, 14336]
-
blk.31.ffn_gate.5.weightF16[4096, 14336]
-
blk.31.ffn_gate.6.weightF16[4096, 14336]
-
blk.31.ffn_gate.7.weightF16[4096, 14336]
-
blk.31.ffn_gate_inp.weightF16[4096, 8]
-
blk.31.ffn_norm.weightF32[4096]
-
blk.31.ffn_up.0.weightF16[4096, 14336]
-
blk.31.ffn_up.1.weightF16[4096, 14336]
-
blk.31.ffn_up.2.weightF16[4096, 14336]
-
blk.31.ffn_up.3.weightF16[4096, 14336]
-
blk.31.ffn_up.4.weightF16[4096, 14336]
-
blk.31.ffn_up.5.weightF16[4096, 14336]
-
blk.31.ffn_up.6.weightF16[4096, 14336]
-
blk.31.ffn_up.7.weightF16[4096, 14336]
-
output.weightF16[4096, 32000]
-
output_norm.weightF32[4096]
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