A small LM for coding
3 Pulls Updated 3 months ago
7a6eb17080bd · 6.1GB
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general.architecturestarcoder2
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general.basenamestarcoder2
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general.file_type1
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general.nameStarcoder2 3b
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general.organizationBigcode
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general.quantization_version2
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general.size_label3B
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general.typemodel
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starcoder2.attention.head_count24
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starcoder2.attention.head_count_kv2
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starcoder2.attention.layer_norm_epsilon1e-05
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starcoder2.block_count30
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starcoder2.context_length16384
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starcoder2.embedding_length3072
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starcoder2.feed_forward_length12288
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starcoder2.rope.freq_base999999.44
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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 Ġ, ĠĠ ĠĠ, ĠĠĠĠ ĠĠĠĠ, ĠĠ Ġ, e r, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.prestarcoder
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tokenizer.ggml.token_type[3, 3, 3, 3, 3, ...]
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tokenizer.ggml.tokens[<|endoftext|>, <fim_prefix>, <fim_middle>, <fim_suffix>, <fim_pad>, ...]
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tokenizer.ggml.unknown_token_id0
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NameTypeShape
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token_embd.weightF16[3072, 49152]
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blk.0.ffn_norm.weightF32[3072]
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blk.22.ffn_norm.biasF32[3072]
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blk.22.ffn_norm.weightF32[3072]
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blk.22.ffn_up.biasF32[12288]
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blk.22.ffn_up.weightF16[3072, 12288]
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blk.23.attn_k.biasF32[256]
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blk.23.attn_k.weightF16[3072, 256]
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blk.23.attn_norm.biasF32[3072]
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blk.23.attn_norm.weightF32[3072]
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blk.23.attn_q.weightF16[3072, 3072]
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blk.23.ffn_down.weightF16[12288, 3072]
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blk.23.ffn_norm.biasF32[3072]
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blk.23.ffn_norm.weightF32[3072]
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blk.23.ffn_up.biasF32[12288]
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blk.23.ffn_up.weightF16[3072, 12288]
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blk.24.attn_k.biasF32[256]
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blk.24.attn_k.weightF16[3072, 256]
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blk.24.attn_norm.biasF32[3072]
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blk.24.attn_norm.weightF32[3072]
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blk.24.attn_output.biasF32[3072]
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blk.24.attn_output.weightF16[3072, 3072]
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blk.24.attn_q.biasF32[3072]
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blk.24.attn_q.weightF16[3072, 3072]
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blk.24.attn_v.biasF32[256]
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blk.24.attn_v.weightF16[3072, 256]
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blk.24.ffn_down.biasF32[3072]
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blk.24.ffn_down.weightF16[12288, 3072]
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blk.24.ffn_norm.biasF32[3072]
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blk.24.ffn_norm.weightF32[3072]
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blk.24.ffn_up.biasF32[12288]
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blk.24.ffn_up.weightF16[3072, 12288]
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blk.25.attn_k.biasF32[256]
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blk.25.attn_k.weightF16[3072, 256]
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blk.25.attn_norm.biasF32[3072]
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blk.25.attn_norm.weightF32[3072]
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blk.25.attn_output.biasF32[3072]
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blk.25.attn_output.weightF16[3072, 3072]
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blk.25.attn_q.biasF32[3072]
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blk.25.attn_q.weightF16[3072, 3072]
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blk.25.attn_v.biasF32[256]
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blk.25.attn_v.weightF16[3072, 256]
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blk.25.ffn_down.biasF32[3072]
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blk.25.ffn_down.weightF16[12288, 3072]
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blk.25.ffn_norm.biasF32[3072]
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blk.25.ffn_norm.weightF32[3072]
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blk.25.ffn_up.biasF32[12288]
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blk.25.ffn_up.weightF16[3072, 12288]
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blk.26.attn_k.biasF32[256]
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blk.26.attn_k.weightF16[3072, 256]
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blk.26.attn_norm.biasF32[3072]
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blk.26.attn_norm.weightF32[3072]
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blk.26.attn_output.biasF32[3072]
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blk.26.attn_output.weightF16[3072, 3072]
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blk.26.attn_q.weightF16[3072, 3072]
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blk.26.attn_v.weightF16[3072, 256]
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blk.26.ffn_down.biasF32[3072]
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blk.26.ffn_down.weightF16[12288, 3072]
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blk.26.ffn_norm.biasF32[3072]
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blk.26.ffn_norm.weightF32[3072]
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blk.26.ffn_up.biasF32[12288]
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blk.26.ffn_up.weightF16[3072, 12288]
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blk.27.attn_k.weightF16[3072, 256]
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blk.27.attn_norm.biasF32[3072]
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blk.27.attn_norm.weightF32[3072]
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blk.27.attn_output.biasF32[3072]
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blk.27.attn_output.weightF16[3072, 3072]
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blk.27.attn_q.biasF32[3072]
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blk.27.attn_q.weightF16[3072, 3072]
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blk.27.attn_v.weightF16[3072, 256]
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blk.27.ffn_down.biasF32[3072]
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blk.27.ffn_down.weightF16[12288, 3072]
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blk.27.ffn_norm.biasF32[3072]
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blk.27.ffn_norm.weightF32[3072]
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blk.27.ffn_up.biasF32[12288]
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blk.27.ffn_up.weightF16[3072, 12288]
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blk.28.attn_k.biasF32[256]
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blk.28.attn_k.weightF16[3072, 256]
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blk.28.attn_norm.biasF32[3072]
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blk.28.attn_norm.weightF32[3072]
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blk.28.attn_output.biasF32[3072]
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blk.28.attn_output.weightF16[3072, 3072]
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blk.28.attn_q.biasF32[3072]
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blk.28.attn_q.weightF16[3072, 3072]
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blk.28.attn_v.biasF32[256]
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blk.28.attn_v.weightF16[3072, 256]
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blk.28.ffn_down.biasF32[3072]
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blk.28.ffn_down.weightF16[12288, 3072]
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blk.28.ffn_norm.biasF32[3072]
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blk.28.ffn_norm.weightF32[3072]
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blk.28.ffn_up.biasF32[12288]
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blk.28.ffn_up.weightF16[3072, 12288]
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blk.29.attn_k.biasF32[256]
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blk.29.attn_k.weightF16[3072, 256]
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blk.29.attn_norm.biasF32[3072]
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blk.29.attn_norm.weightF32[3072]
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blk.29.attn_output.biasF32[3072]
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blk.29.attn_output.weightF16[3072, 3072]
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blk.29.attn_q.biasF32[3072]
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blk.29.attn_q.weightF16[3072, 3072]
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blk.29.attn_v.biasF32[256]
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blk.29.attn_v.weightF16[3072, 256]
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blk.29.ffn_down.biasF32[3072]
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blk.29.ffn_down.weightF16[12288, 3072]
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blk.29.ffn_norm.biasF32[3072]
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blk.29.ffn_norm.weightF32[3072]
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blk.29.ffn_up.biasF32[12288]
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blk.29.ffn_up.weightF16[3072, 12288]
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output_norm.biasF32[3072]
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output_norm.weightF32[3072]
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