This model is based on llm-jp/llm-jp-3-3.7b-instruct, enhanced with multiple tuning techniques to improve its general performance.
92 Pulls Updated 7 weeks ago
5fc4863c3dd3 · 4.0GB
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general.architecturellama
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general.basenamellm-jp-3
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general.file_type7
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general.finetuneinstruct-SPPO
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general.nameLlm Jp 3 3.7b Instruct SPPO Iter2
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general.organizationCheckpoints
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general.quantization_version2
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general.size_label3.7B
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general.typemodel
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general.versionIter2
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llama.attention.head_count24
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llama.attention.head_count_kv24
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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_count28
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llama.context_length4096
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llama.embedding_length3072
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llama.feed_forward_length8192
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llama.rope.dimension_count128
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llama.rope.freq_base10000
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llama.vocab_size99584
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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.cls_token_id5
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tokenizer.ggml.eos_token_id2
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tokenizer.ggml.mask_token_id3
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tokenizer.ggml.modelllama
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tokenizer.ggml.padding_token_id4
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tokenizer.ggml.predefault
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tokenizer.ggml.scores[-1000, -1000, -1000, -1000, -1000, ...]
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tokenizer.ggml.seperator_token_id6
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tokenizer.ggml.token_type[3, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, <MASK|LLM-jp>, <PAD|LLM-jp>, ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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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