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README.md

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+
+---
+
+base_model:
+- Sao10K/L3-8B-Stheno-v3.2
+- meta-llama/Meta-Llama-3-8B-Instruct
+- ChaoticNeutrals/Domain-Fusion-L3-8B
+- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
+- ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
+- ChaoticNeutrals/Templar_v1_8B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+
+---
+
+![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
+
+# QuantFactory/L3-OVA-Test-8B-GGUF
+This is quantized version of [Casual-Autopsy/L3-OVA-Test-8B](https://huggingface.co/Casual-Autopsy/L3-OVA-Test-8B) created using llama.cpp
+
+# Original Model Card
+
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
+* [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B)
+* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
+* [ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B)
+* [ChaoticNeutrals/Templar_v1_8B](https://huggingface.co/ChaoticNeutrals/Templar_v1_8B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: meta-llama/Meta-Llama-3-8B-Instruct
+  - model: meta-llama/Meta-Llama-3-8B-Instruct
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: ChaoticNeutrals/Templar_v1_8B
+    parameters:
+      density: 0.75
+      weight: [0.25, 0.0625, 0.0625, 0.0625, 0.0625]
+  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
+    parameters:
+      density: 0.75
+      weight: [0.0625, 0.25, 0.0625, 0.0625, 0.0625]
+  - model: Sao10K/L3-8B-Stheno-v3.2
+    parameters:
+      density: 0.75
+      weight: [0.0625, 0.0625, 0.25, 0.0625, 0.0625]
+  - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
+    parameters:
+      density: 0.75
+      weight: [0.0625, 0.0625, 0.0625, 0.25, 0.0625]
+  - model: ChaoticNeutrals/Domain-Fusion-L3-8B
+    parameters:
+      density: 0.75
+      weight: [0.0625, 0.0625, 0.0625, 0.0625, 0.25]
+  - model: ChaoticNeutrals/Templar_v1_8B
+    parameters:
+      density: 0.25
+      weight: [-0.125, -0.125, -0.125, -0.125, -0.5]
+  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
+    parameters:
+      density: 0.25
+      weight: [-0.125, -0.125, -0.5, -0.125, -0.125]
+  - model: Sao10K/L3-8B-Stheno-v3.2
+    parameters:
+      density: 0.25
+      weight: [-0.125, -0.5, -0.125, -0.125, -0.125]
+  - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
+    parameters:
+      density: 0.25
+      weight: [-0.125, -0.125, -0.125, -0.5, -0.125]
+  - model: ChaoticNeutrals/Domain-Fusion-L3-8B
+    parameters:
+      density: 0.25
+      weight: [-0.5, -0.125, -0.125, -0.125, -0.125]
+merge_method: ties
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+parameters:
+  normalize: false
+  int8_mask: true
+dtype: bfloat16
+
+```
+