Quantization made by Richard Erkhov.

Phi-3.5-mini-TitanFusion-0.4 - GGUF

Model creator: https://huggingface.co/bunnycore/
Original model: https://huggingface.co/bunnycore/Phi-3.5-mini-TitanFusion-0.4/

Name	Quant method	Size
Phi-3.5-mini-TitanFusion-0.4.Q2_K.gguf	Q2_K	1.32GB
Phi-3.5-mini-TitanFusion-0.4.IQ3_XS.gguf	IQ3_XS	1.51GB
Phi-3.5-mini-TitanFusion-0.4.IQ3_S.gguf	IQ3_S	1.57GB
Phi-3.5-mini-TitanFusion-0.4.Q3_K_S.gguf	Q3_K_S	1.57GB
Phi-3.5-mini-TitanFusion-0.4.IQ3_M.gguf	IQ3_M	1.73GB
Phi-3.5-mini-TitanFusion-0.4.Q3_K.gguf	Q3_K	1.82GB
Phi-3.5-mini-TitanFusion-0.4.Q3_K_M.gguf	Q3_K_M	1.82GB
Phi-3.5-mini-TitanFusion-0.4.Q3_K_L.gguf	Q3_K_L	1.94GB
Phi-3.5-mini-TitanFusion-0.4.IQ4_XS.gguf	IQ4_XS	1.93GB
Phi-3.5-mini-TitanFusion-0.4.Q4_0.gguf	Q4_0	2.03GB
Phi-3.5-mini-TitanFusion-0.4.IQ4_NL.gguf	IQ4_NL	2.04GB
Phi-3.5-mini-TitanFusion-0.4.Q4_K_S.gguf	Q4_K_S	2.04GB
Phi-3.5-mini-TitanFusion-0.4.Q4_K.gguf	Q4_K	2.23GB
Phi-3.5-mini-TitanFusion-0.4.Q4_K_M.gguf	Q4_K_M	2.23GB
Phi-3.5-mini-TitanFusion-0.4.Q4_1.gguf	Q4_1	2.24GB
Phi-3.5-mini-TitanFusion-0.4.Q5_0.gguf	Q5_0	2.46GB
Phi-3.5-mini-TitanFusion-0.4.Q5_K_S.gguf	Q5_K_S	2.46GB
Phi-3.5-mini-TitanFusion-0.4.Q5_K.gguf	Q5_K	2.62GB
Phi-3.5-mini-TitanFusion-0.4.Q5_K_M.gguf	Q5_K_M	2.62GB
Phi-3.5-mini-TitanFusion-0.4.Q5_1.gguf	Q5_1	2.68GB
Phi-3.5-mini-TitanFusion-0.4.Q6_K.gguf	Q6_K	2.92GB
Phi-3.5-mini-TitanFusion-0.4.Q8_0.gguf	Q8_0	3.78GB

Original model description:

base_model:

ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
MaziyarPanahi/calme-2.1-phi3.5-4b
bunnycore/Phi-3.5-rp-lora_model
bunnycore/Phi-3.5-mini-TitanFusion-0.3
ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
bunnycore/Phi-3.5-rp-lora_model
bunnycore/Phi-3.5-mini-TitanFusion-0.1
bunnycore/mergekit-ties-fftkoci
bunnycore/Phi-3.5-rp-lora_model library_name: transformers tags:
mergekit
merge

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 + bunnycore/Phi-3.5-rp-lora_model as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:


models:
  - model: bunnycore/Phi-3.5-mini-TitanFusion-0.3
    parameters:
      weight: 1

  - model: bunnycore/Phi-3.5-mini-TitanFusion-0.1
    parameters:
      weight: 1

  - model: MaziyarPanahi/calme-2.1-phi3.5-4b+bunnycore/Phi-3.5-rp-lora_model
    parameters:
      weight: 1

  - model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
    parameters:
      weight: 1

  - model: bunnycore/mergekit-ties-fftkoci+bunnycore/Phi-3.5-rp-lora_model
    parameters:
      weight: 1

merge_method: ties
base_model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1+bunnycore/Phi-3.5-rp-lora_model
parameters:
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16