Model Intelligence Sheet
SOMEHOTMEAL/Qwen3.5-9B-Janus-Abliterated-V2-Base_And_GGUF overview
base model: huihui ai/Huihui Qwen3.5 9B abliterated Qwen/Qwen3.5 9B library name: transformers tags: mergekit merge Qwen3.5 9B Janus Abliterated V2 This is a m…
Runs locally from ~3.56 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
5 GGUF files detected
Direct downloads for local inference
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.5-9B-Janus-Abliterated-V2-Q2_K-GGUF.gguf | GGUF | Q2_K | 3.56 GB | Download |
| Qwen3.5-9B-Janus-Abliterated-V2-Q4_K_M-GGUF.gguf | GGUF | Q4_K_M | 5.24 GB | Download |
| Qwen3.5-9B-Janus-Abliterated-V2-Q6_K-GGUF.gguf | GGUF | Q6_K | 6.85 GB | Download |
| Qwen3.5-9B-Janus-Abliterated-V2-Q8_0-GGUF.gguf | GGUF | Q8_0 | 8.87 GB | Download |
| Qwen3.5-9B-Janus-Abliterated-V2-f16-GGUF.gguf | GGUF | F16 | 16.69 GB | Download |
Model Details
| Model ID | SOMEHOTMEAL/Qwen3.5-9B-Janus-Abliterated-V2-Base_And_GGUF |
|---|---|
| Author | SOMEHOTMEAL |
| Pipeline | image-text-to-text |
| License | — |
| Base model | huihui-ai/Huihui-Qwen3.5-9B-abliterated,Qwen/Qwen3.5-9B |
| Last modified | 2026-09-13T16:56:01.000Z |
Model README
---
base_model:
- huihui-ai/Huihui-Qwen3.5-9B-abliterated
- Qwen/Qwen3.5-9B
library_name: transformers
tags:
- mergekit
- merge
---
Qwen3.5-9B-Janus-Abliterated-V2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: slerp
base_model: &model_a Qwen/Qwen3.5-9B # Notice the & anchor trick!
slices:
- sources:
- model: *model_a # Automatically matches base_model
layer_range: [0, 32] # Safely covers all layers (8B up to 70B)
- model: huihui-ai/Huihui-Qwen3.5-9B-abliterated
layer_range: [0, 32]
# Only uncomment the 2 lines below if pulling from a Janus/VL model:
# rename:
# - ["text_model.model.", "model."]
# - ["text_model.", ""]
parameters:
t: 0.60 # 60% Model B, 40% Model A
dtype: bfloat16
tokenizer_source: baseRun SOMEHOTMEAL/Qwen3.5-9B-Janus-Abliterated-V2-Base_And_GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models