A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.
tools
12b
553.1K Pulls Updated 3 months ago
b559938ab7a0 · 7.1GB
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general.architecturellama
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general.basenameMistral-Nemo
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general.file_type2
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general.finetuneInstruct
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general.languages[en, fr, de, es, it, ...]
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general.licenseapache-2.0
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general.nameMistral Nemo Instruct 2407
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general.quantization_version2
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general.size_label12B
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general.typemodel
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general.version2407
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llama.attention.head_count32
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llama.attention.head_count_kv8
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llama.attention.key_length128
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.attention.value_length128
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llama.block_count40
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llama.context_length1024000
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llama.embedding_length5120
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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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llama.vocab_size131072
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tokenizer.ggml.add_bos_tokentrue
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tokenizer.ggml.add_eos_tokenfalse
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tokenizer.ggml.add_space_prefixfalse
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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[Ġ Ġ, Ġ t, e r, i n, Ġ ĠĠĠ, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.pretekken
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tokenizer.ggml.token_type[3, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, [INST], [/INST], ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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blk.33.ffn_up.weightQ4_0[5120, 14336]
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blk.34.attn_k.weightQ4_0[5120, 1024]
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blk.34.attn_norm.weightF32[5120]
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blk.34.attn_output.weightQ4_0[4096, 5120]
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blk.34.attn_q.weightQ4_0[5120, 4096]
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blk.34.attn_v.weightQ4_0[5120, 1024]
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blk.34.ffn_down.weightQ4_0[14336, 5120]
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blk.34.ffn_gate.weightQ4_0[5120, 14336]
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blk.34.ffn_norm.weightF32[5120]
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blk.34.ffn_up.weightQ4_0[5120, 14336]
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blk.35.attn_k.weightQ4_0[5120, 1024]
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blk.35.attn_norm.weightF32[5120]
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blk.35.attn_output.weightQ4_0[4096, 5120]
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blk.35.attn_q.weightQ4_0[5120, 4096]
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blk.35.attn_v.weightQ4_0[5120, 1024]
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blk.35.ffn_down.weightQ4_0[14336, 5120]
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blk.35.ffn_gate.weightQ4_0[5120, 14336]
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blk.35.ffn_norm.weightF32[5120]
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blk.35.ffn_up.weightQ4_0[5120, 14336]
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blk.36.attn_k.weightQ4_0[5120, 1024]
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blk.36.attn_norm.weightF32[5120]
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blk.36.attn_output.weightQ4_0[4096, 5120]
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blk.36.attn_q.weightQ4_0[5120, 4096]
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blk.36.attn_v.weightQ4_0[5120, 1024]
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blk.36.ffn_down.weightQ4_0[14336, 5120]
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blk.36.ffn_gate.weightQ4_0[5120, 14336]
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blk.36.ffn_norm.weightF32[5120]
-
blk.36.ffn_up.weightQ4_0[5120, 14336]
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blk.37.attn_k.weightQ4_0[5120, 1024]
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blk.37.attn_norm.weightF32[5120]
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blk.37.attn_output.weightQ4_0[4096, 5120]
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blk.37.attn_q.weightQ4_0[5120, 4096]
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blk.37.attn_v.weightQ4_0[5120, 1024]
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blk.37.ffn_down.weightQ4_0[14336, 5120]
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blk.37.ffn_gate.weightQ4_0[5120, 14336]
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blk.37.ffn_norm.weightF32[5120]
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blk.37.ffn_up.weightQ4_0[5120, 14336]
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blk.38.attn_k.weightQ4_0[5120, 1024]
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blk.38.attn_norm.weightF32[5120]
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blk.38.attn_output.weightQ4_0[4096, 5120]
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blk.38.attn_q.weightQ4_0[5120, 4096]
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blk.38.attn_v.weightQ4_0[5120, 1024]
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blk.38.ffn_down.weightQ4_0[14336, 5120]
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blk.38.ffn_gate.weightQ4_0[5120, 14336]
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blk.38.ffn_norm.weightF32[5120]
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blk.38.ffn_up.weightQ4_0[5120, 14336]
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blk.39.attn_k.weightQ4_0[5120, 1024]
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blk.39.attn_norm.weightF32[5120]
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blk.39.attn_output.weightQ4_0[4096, 5120]
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blk.39.attn_q.weightQ4_0[5120, 4096]
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blk.39.attn_v.weightQ4_0[5120, 1024]
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blk.39.ffn_down.weightQ4_0[14336, 5120]
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blk.39.ffn_gate.weightQ4_0[5120, 14336]
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blk.39.ffn_norm.weightF32[5120]
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blk.39.ffn_up.weightQ4_0[5120, 14336]
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output.weightQ6_K[5120, 131072]
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output_norm.weightF32[5120]
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
blk.32
blk.33
blk.34
blk.35
blk.36
blk.37
blk.38
blk.39