Ablitered v3 llama-3.1 8b with uncensored prompt
tools
11.6K Pulls Updated 3 months ago
9dac2df89aec · 4.4GB
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general.architecturellama
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general.base_model.0.nameMeta Llama 3.1 8B Instruct
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general.base_model.0.organizationMeta Llama
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general.base_model.0.repo_urlhttps://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct
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general.base_model.count1
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general.file_type30
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general.finetune..
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general.licensellama3.1
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general.name..
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general.quantization_version2
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general.size_label8.0B
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general.tags[abliterated, uncensored]
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general.typemodel
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llama.attention.head_count32
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llama.attention.head_count_kv8
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llama.attention.layer_norm_rms_epsilon1e-05
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llama.block_count32
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llama.context_length131072
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llama.embedding_length4096
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llama.feed_forward_length14336
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llama.rope.dimension_count128
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llama.rope.freq_base500000
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llama.vocab_size128256
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quantize.imatrix.chunks_count62
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quantize.imatrix.dataset/shared/opt/work_models/_imatrix/calibration_datav3.txt
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quantize.imatrix.entries_count224
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quantize.imatrix.fileimatrix.dat
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tokenizer.ggml.bos_token_id128000
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tokenizer.ggml.eos_token_id128009
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tokenizer.ggml.merges[Ġ Ġ, Ġ ĠĠĠ, ĠĠ ĠĠ, ĠĠĠ Ġ, i n, ...]
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tokenizer.ggml.modelgpt2
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tokenizer.ggml.prellama-bpe
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tokenizer.ggml.token_type[1, 1, 1, 1, 1, ...]
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tokenizer.ggml.tokens[!, ", #, $, %, ...]
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output.weightQ6_K[4096, 128256]
-
rope_freqs.weightF32[64]
-
output_norm.weightF32[4096]
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