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README.md
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Unaligned and somewhat lazy. Use rep_pen 1.1
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# Quants
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* [Q8_0 static, imatrix](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot-Q8_0-GGUF)
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* [Q6_K static, imatrix](https://huggingface.co/v000000/L3-11.5B-DuS-MoonRoot-Q6_K-GGUF)
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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---
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Unaligned and somewhat lazy. Use rep_pen 1.1
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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The following YAML configuration was used to produce this model:
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---Step 3
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```yaml
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slices:
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- sources:
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layer_range: [8, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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---Step 2
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```yaml
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slices:
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- sources:
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- model: v000000/L3-8B-Poppy-Sunspice-experiment-c+Blackroot/Llama-3-8B-Abomination-LORA
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layer_range: [0, 32]
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- model: v000000/L3-8B-Poppy-Sunspice-experiment-c+ResplendentAI/BlueMoon_Llama3
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layer_range: [0, 32]
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merge_method: slerp
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base_model: v000000/L3-8B-Poppy-Sunspice-experiment-c+Blackroot/Llama-3-8B-Abomination-LORA
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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random_seed: 0
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```
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---Step 1
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```yaml
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models:
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- model: crestf411/L3-8B-sunfall-abliterated-v0.2
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parameters:
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weight: 0.1
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density: 0.18
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- model: Hastagaras/HALU-8B-LLAMA3-BRSLURP
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parameters:
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weight: 0.1
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density: 0.3
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- model: Nitral-Archive/Poppy_Porpoise-Biomix
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parameters:
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weight: 0.1
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density: 0.42
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- model: cgato/L3-TheSpice-8b-v0.8.3
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parameters:
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weight: 0.2
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density: 0.54
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- model: Sao10K/L3-8B-Stheno-v3.2
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parameters:
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weight: 0.2
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density: 0.66
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- model: Nitral-AI/Poppy_Porpoise-0.72-L3-8B
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parameters:
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weight: 0.3
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density: 0.78
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merge_method: dare_ties
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base_model: NousResearch/Meta-Llama-3-8B-Instruct
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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---
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