EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.
2.4b
7.8b
18 Pulls Updated 9 hours ago
96c306ee3de5 · 1.6GB
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exaone.attention.head_count32
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exaone.attention.head_count_kv8
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exaone.attention.layer_norm_rms_epsilon1e-05
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exaone.block_count30
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exaone.context_length32768
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exaone.embedding_length2560
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exaone.feed_forward_length7168
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exaone.rope.dimension_count80
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exaone.rope.freq_base1e+06
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general.architectureexaone
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general.basenameEXAONE-3.5
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general.file_type15
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general.finetuneInstruct
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general.languages[en, ko]
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general.licenseother
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general.license.linkLICENSE
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general.license.nameexaone
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general.nameEXAONE 3.5 2.4B Instruct
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general.organizationLGAI EXAONE
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general.quantization_version2
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general.size_label2.4B
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general.tags[lg-ai, exaone, exaone-3.5, text-generation]
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general.typemodel
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tokenizer.ggml.bos_token_id1
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tokenizer.ggml.eos_token_id361
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tokenizer.ggml.merges[t h, Ġ a, Ġ í, i n, Ġ th, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.padding_token_id0
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tokenizer.ggml.preexaone
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tokenizer.ggml.token_type[3, 3, 3, 3, 4, ...]
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tokenizer.ggml.tokens[[PAD], [BOS], [EOS], [UNK], , ...]
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tokenizer.ggml.unknown_token_id3
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NameTypeShape
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token_embd.weightQ4_K[2560, 102400]
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blk.0.attn_q.weightQ4_K[2560, 2560]
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blk.0.attn_v.weightQ6_K[2560, 640]
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blk.0.ffn_down.weightQ6_K[7168, 2560]
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blk.0.ffn_gate.weightQ4_K[2560, 7168]
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blk.0.ffn_norm.weightF32[2560]
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blk.0.ffn_up.weightQ4_K[2560, 7168]
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blk.1.attn_k.weightQ4_K[2560, 640]
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blk.1.attn_norm.weightF32[2560]
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blk.1.attn_output.weightQ4_K[2560, 2560]
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blk.1.attn_q.weightQ4_K[2560, 2560]
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blk.1.ffn_gate.weightQ4_K[2560, 7168]
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blk.1.ffn_norm.weightF32[2560]
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blk.1.ffn_up.weightQ4_K[2560, 7168]
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blk.5.attn_v.weightQ6_K[2560, 640]
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blk.5.ffn_down.weightQ6_K[7168, 2560]
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blk.5.ffn_gate.weightQ4_K[2560, 7168]
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blk.5.ffn_norm.weightF32[2560]
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blk.5.ffn_up.weightQ4_K[2560, 7168]
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blk.6.attn_norm.weightF32[2560]
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blk.6.attn_q.weightQ4_K[2560, 2560]
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blk.6.attn_v.weightQ4_K[2560, 640]
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blk.6.ffn_down.weightQ4_K[7168, 2560]
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blk.6.ffn_gate.weightQ4_K[2560, 7168]
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blk.6.ffn_norm.weightF32[2560]
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blk.6.ffn_up.weightQ4_K[2560, 7168]
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blk.7.attn_norm.weightF32[2560]
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blk.7.attn_q.weightQ4_K[2560, 2560]
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blk.7.ffn_norm.weightF32[2560]
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blk.7.ffn_up.weightQ4_K[2560, 7168]
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blk.8.attn_k.weightQ4_K[2560, 640]
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blk.8.attn_norm.weightF32[2560]
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blk.8.attn_output.weightQ4_K[2560, 2560]
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blk.8.attn_q.weightQ4_K[2560, 2560]
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blk.8.attn_v.weightQ6_K[2560, 640]
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blk.8.ffn_down.weightQ6_K[7168, 2560]
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blk.8.ffn_gate.weightQ4_K[2560, 7168]
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blk.8.ffn_norm.weightF32[2560]
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blk.8.ffn_up.weightQ4_K[2560, 7168]
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blk.9.attn_k.weightQ4_K[2560, 640]
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blk.9.attn_norm.weightF32[2560]
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blk.9.attn_q.weightQ4_K[2560, 2560]
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blk.9.ffn_norm.weightF32[2560]
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blk.9.ffn_up.weightQ4_K[2560, 7168]
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blk.10.attn_norm.weightF32[2560]
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blk.10.attn_v.weightQ4_K[2560, 640]
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blk.10.ffn_down.weightQ4_K[7168, 2560]
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blk.10.ffn_gate.weightQ4_K[2560, 7168]
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blk.10.ffn_norm.weightF32[2560]
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blk.10.ffn_up.weightQ4_K[2560, 7168]
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blk.11.ffn_norm.weightF32[2560]
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blk.11.ffn_up.weightQ4_K[2560, 7168]
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blk.12.attn_k.weightQ4_K[2560, 640]
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blk.12.attn_norm.weightF32[2560]
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blk.12.attn_q.weightQ4_K[2560, 2560]
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blk.13.attn_norm.weightF32[2560]
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blk.13.attn_v.weightQ4_K[2560, 640]
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blk.13.ffn_gate.weightQ4_K[2560, 7168]
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blk.13.ffn_norm.weightF32[2560]
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blk.13.ffn_up.weightQ4_K[2560, 7168]
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blk.14.attn_k.weightQ4_K[2560, 640]
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blk.14.attn_norm.weightF32[2560]
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blk.14.attn_output.weightQ4_K[2560, 2560]
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blk.14.attn_q.weightQ4_K[2560, 2560]
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blk.14.ffn_down.weightQ6_K[7168, 2560]
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blk.14.ffn_norm.weightF32[2560]
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blk.15.attn_norm.weightF32[2560]
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blk.15.attn_v.weightQ4_K[2560, 640]
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blk.15.ffn_norm.weightF32[2560]
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blk.16.ffn_norm.weightF32[2560]
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blk.18.ffn_norm.weightF32[2560]
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blk.19.attn_norm.weightF32[2560]
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blk.19.attn_q.weightQ4_K[2560, 2560]
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blk.22.attn_norm.weightF32[2560]
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blk.29.attn_norm.weightF32[2560]
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blk.29.attn_q.weightQ4_K[2560, 2560]
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blk.29.ffn_up.weightQ4_K[2560, 7168]
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output.weightQ6_K[2560, 102400]
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rope_freqs.weightF32[40]
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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