QuantFactory Banner

QuantFactory/CyberCore-Qwen-2.1-7B-GGUF

This is quantized version of bunnycore/CyberCore-Qwen-2.1-7B created using llama.cpp

Original Model Card

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 rombodawg/Rombos-LLM-V2.5-Qwen-7b 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: fblgit/cybertron-v4-qw7B-MGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      density: 0.5
      weight: 0.5
  - model: fblgit/cybertron-v4-qw7B-UNAMGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
parameters:
  normalize: false
  int8_mask: true
dtype: float16
Downloads last month
654
GGUF
Model size
7.62B params
Architecture
qwen2

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for QuantFactory/CyberCore-Qwen-2.1-7B-GGUF