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EVA-Tissint-14B

Text Generation
Transformers
Safetensors
qwen2
mergekit
Merge
conversational
text-generation-inference
Inference Endpoints
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@@ -24,12 +24,12 @@ Imatrix: https://huggingface.co/mradermacher/EVA-Tissint-14B-i1-GGUF
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  ### Merge Method
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- This model was merged using the della_linear merge method using /home/ciaran/Documents/Quantisingmodels/EVA-Qwen2.5-14B-v0.2/ as a base.
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  ### Models Merged
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  The following models were included in the merge:
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- * /home/ciaran/Documents/Quantisingmodels/Tissint-14B-128k-RP/
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  ### Configuration
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@@ -37,17 +37,17 @@ The following YAML configuration was used to produce this model:
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  ```yaml
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  models:
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- - model: /home/ciaran/Documents/Quantisingmodels/Tissint-14B-128k-RP/
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  parameters:
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  density: 0.4
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  weight: 0.3
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- - model: /home/ciaran/Documents/Quantisingmodels/EVA-Qwen2.5-14B-v0.2/
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  parameters:
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  density: 0.6
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  weight: 0.7
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  merge_method: della_linear
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- base_model: /home/ciaran/Documents/Quantisingmodels/EVA-Qwen2.5-14B-v0.2/
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  parameters:
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  epsilon: 0.05
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  lambda: 1
 
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  ### Merge Method
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+ This model was merged using the della_linear merge method using EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 as a base.
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  ### Models Merged
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  The following models were included in the merge:
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+ * Ttimofeyka/Tissint-14B-128k-RP
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  ### Configuration
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  ```yaml
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  models:
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+ - model: Ttimofeyka/Tissint-14B-128k-RP
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  parameters:
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  density: 0.4
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  weight: 0.3
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+ - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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  parameters:
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  density: 0.6
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  weight: 0.7
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  merge_method: della_linear
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+ base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
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  parameters:
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  epsilon: 0.05
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  lambda: 1