bunnycore_-_Phi-3.5-Hyper-Mix-gguf

RichardErkhov/bunnycore_-_Phi-3.5-Hyper-Mix-gguf

bunnycore_-_Phi-3.5-Hyper-Mix-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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43.9 GB

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.gguf51.1 GB · 100%

At a glance

Access: Public
Created: Oct 23, 2024
Updated: Oct 23, 2024
SHA: ed401a55

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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Phi-3.5-Hyper-Mix - GGUF

Model creator: https://huggingface.co/bunnycore/
Original model: https://huggingface.co/bunnycore/Phi-3.5-Hyper-Mix/

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

Original model description:

base_model:

ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
bunnycore/Phi-3.5-mini-System-lora
nbeerbower/phi3.5-gutenberg-4B
bunnycore/Phi-3.1-EvolKit-lora
ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
nbeerbower/phi3.5-gutenberg-4B
bunnycore/Phi-3.5-Mini-RP-Sonet
AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding
bunnycore/Phi-3.1-EvolKit-lora 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 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: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1+bunnycore/Phi-3.5-mini-System-lora
    parameters:
      density: 0.5
      weight: 0.5
  - model: nbeerbower/phi3.5-gutenberg-4B+bunnycore/Phi-3.5-Mini-RP-Sonet
    parameters:
      density: 0.5
      weight: 0.5
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      density: 0.5
      weight: 0.5
  - model: nbeerbower/phi3.5-gutenberg-4B+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Created: Oct 23, 2024
Updated: Oct 23, 2024