InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.
1m
1.8b
7b
20b
64K Pulls Updated 4 months ago
d12c304ba0a0 · 2.0GB
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general.architectureinternlm2
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general.basenameinternlm2_5
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general.file_type7
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general.finetunechat
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general.licenseother
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general.nameInternlm2_5 1_8b Chat
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general.quantization_version2
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general.size_label1.8B
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general.tags[text-generation]
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general.typemodel
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internlm2.attention.head_count16
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internlm2.attention.head_count_kv8
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internlm2.attention.layer_norm_rms_epsilon1e-05
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internlm2.block_count24
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internlm2.context_length32768
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internlm2.embedding_length2048
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internlm2.feed_forward_length8192
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internlm2.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.add_space_prefixfalse
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tokenizer.ggml.bos_token_id1
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tokenizer.ggml.eos_token_id92542
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tokenizer.ggml.modelllama
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tokenizer.ggml.padding_token_id2
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tokenizer.ggml.predefault
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tokenizer.ggml.scores[-1000, -1000, -1000, 0, 0, ...]
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tokenizer.ggml.token_type[3, 3, 3, 6, 6, ...]
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tokenizer.ggml.tokens[<unk>, <s>, </s>, <0x00>, <0x01>, ...]
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Metadata
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