The "Home" model is a fine tuning of the StableLM-Zephyr-3B model. It achieves a score of 97.11% score for JSON function calling accuracy.
4,690 Pulls Updated 9 months ago
adc4e5d5f4ac · 1.1GB
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general.architecturestablelm
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general.file_type10
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general.nameStableHome-3b-v1
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general.quantization_version2
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stablelm.attention.head_count32
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stablelm.attention.layer_norm_epsilon1e-05
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stablelm.block_count32
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stablelm.context_length4096
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stablelm.embedding_length2560
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stablelm.feed_forward_length6912
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stablelm.rope.dimension_count20
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stablelm.use_parallel_residualtrue
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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, Ġ t, Ġ a, h e, i n, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.padding_token_id0
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tokenizer.ggml.token_type[3, 3, 1, 1, 1, ...]
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tokenizer.ggml.tokens[<|endoftext|>, <|padding|>, !, ", #, ...]
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tokenizer.ggml.unknown_token_id0
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blk.29.attn_norm.biasF32[2560]
-
blk.29.attn_norm.weightF32[2560]
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blk.29.attn_output.weightQ3_K[2560, 2560]
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blk.29.attn_q.weightQ2_K[2560, 2560]
-
blk.29.attn_v.weightQ3_K[2560, 2560]
-
blk.29.ffn_down.weightQ3_K[6912, 2560]
-
blk.29.ffn_gate.weightQ2_K[2560, 6912]
-
blk.29.ffn_norm.biasF32[2560]
-
blk.29.ffn_norm.weightF32[2560]
-
blk.29.ffn_up.weightQ2_K[2560, 6912]
-
blk.30.attn_k.weightQ2_K[2560, 2560]
-
blk.30.attn_norm.biasF32[2560]
-
blk.30.attn_norm.weightF32[2560]
-
blk.30.attn_output.weightQ3_K[2560, 2560]
-
blk.30.attn_q.weightQ2_K[2560, 2560]
-
blk.30.attn_v.weightQ3_K[2560, 2560]
-
blk.30.ffn_down.weightQ3_K[6912, 2560]
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blk.30.ffn_gate.weightQ2_K[2560, 6912]
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blk.30.ffn_norm.biasF32[2560]
-
blk.30.ffn_norm.weightF32[2560]
-
blk.30.ffn_up.weightQ2_K[2560, 6912]
-
blk.31.attn_k.weightQ2_K[2560, 2560]
-
blk.31.attn_norm.biasF32[2560]
-
blk.31.attn_norm.weightF32[2560]
-
blk.31.attn_output.weightQ3_K[2560, 2560]
-
blk.31.attn_q.weightQ2_K[2560, 2560]
-
blk.31.attn_v.weightQ3_K[2560, 2560]
-
blk.31.ffn_down.weightQ3_K[6912, 2560]
-
blk.31.ffn_gate.weightQ2_K[2560, 6912]
-
blk.31.ffn_norm.biasF32[2560]
-
blk.31.ffn_norm.weightF32[2560]
-
blk.31.ffn_up.weightQ2_K[2560, 6912]
-
output.weightQ6_K[2560, 50304]
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output_norm.biasF32[2560]
-
output_norm.weightF32[2560]
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
blk.30
blk.31