ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF overview
THE GGUF MODEL HAS BEEN UPDATED AND WORKS FINE ge525/Qwen3.8 9B Distill uncensored heretic Q4 K M GGUF This model was converted to GGUF format from petruhonk/Q…
Runs locally from ~5.38 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| qwen3.8-9b-distill-uncensored-heretic-q4_k_m.gguf | GGUF | Q4_K_M | 5.38 GB | Download |
Model Details
| Model ID | ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF |
|---|---|
| Author | ge525 |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | petruhonk/Qwen3.8-9B-Distill-uncensored-heretic |
| Last modified | 2026-08-23T16:03:31.000Z |
Model README
---
license: apache-2.0
base_model: petruhonk/Qwen3.8-9B-Distill-uncensored-heretic
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- empero-ai
- qwen3.5
- qwen3.8
- distillation
- reasoning
- function-calling
- sft
- llama-cpp
---
THE GGUF MODEL HAS BEEN UPDATED AND WORKS FINE
ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF
This model was converted to GGUF format from petruhonk/Qwen3.8-9B-Distill-uncensored-heretic using python code.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF --hf-file qwen3.8-9b-distill-uncensored-heretic-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF --hf-file qwen3.8-9b-distill-uncensored-heretic-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF --hf-file qwen3.8-9b-distill-uncensored-heretic-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF --hf-file qwen3.8-9b-distill-uncensored-heretic-q4_k_m.gguf -c 2048Run ge525/Qwen3.8-9B-Distill-uncensored-heretic-Q4_K_M-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models