🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.
135m
360m
1.7b
82.4K Pulls Updated 2 months ago
2ecc8c07470b · 98MB
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general.architecturellama
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general.basenameSmolLM
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general.datasets[HuggingFaceTB/smollm-corpus]
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general.file_type13
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general.languages[en]
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general.licenseapache-2.0
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general.nameSmolLM 135M
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general.quantization_version2
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general.size_label135M
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general.typemodel
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llama.attention.head_count9
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llama.attention.head_count_kv3
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.block_count30
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llama.context_length2048
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llama.embedding_length576
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llama.feed_forward_length1536
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llama.rope.dimension_count64
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llama.rope.freq_base10000
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llama.vocab_size49152
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tokenizer.ggml.add_bos_tokenfalse
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tokenizer.ggml.add_space_prefixfalse
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tokenizer.ggml.bos_token_id0
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tokenizer.ggml.eos_token_id0
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tokenizer.ggml.merges[Ġ t, Ġ a, i n, h e, Ġ Ġ, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.presmollm
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tokenizer.ggml.token_type[3, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<|endoftext|>, <|im_start|>, <|im_end|>, <repo_name>, <reponame>, ...]
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tokenizer.ggml.unknown_token_id0
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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
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blk.16
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blk.20
blk.21
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blk.29