🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.
7b
29.4K Pulls Updated 11 months ago
6c866e48e381 · 4.8GB
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general.architecturellama
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general.file_type17
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general.nameise-uiuc
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general.quantization_version2
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llama.attention.head_count32
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llama.attention.head_count_kv32
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.block_count32
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llama.context_length16384
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llama.embedding_length4096
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llama.feed_forward_length11008
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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.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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NameTypeShape
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Metadata
Tensor
blk.0
blk.1
blk.2
blk.3
blk.4
blk.5
blk.6
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blk.27
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blk.29
blk.30
blk.31