lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF overview
lyind/Qwen3 4B Thinking 2507 heretic Q4 K M GGUF This model was converted to GGUF format from heretic org/Qwen3 4B Thinking 2507 heretic https://huggingface.co…
Runs locally from ~2.33 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| qwen3-4b-thinking-2507-heretic-q4_k_m.gguf | GGUF | Q4_K_M | 2.33 GB | Download |
Model Details
| Model ID | lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF |
|---|---|
| Author | lyind |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | heretic-org/Qwen3-4B-Thinking-2507-heretic |
| Last modified | 2026-07-04T22:38:21.000Z |
Model README
---
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- heretic
- uncensored
- decensored
- abliterated
- llama-cpp
- gguf-my-repo
base_model: heretic-org/Qwen3-4B-Thinking-2507-heretic
---
lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF
This model was converted to GGUF format from heretic-org/Qwen3-4B-Thinking-2507-heretic using llama.cpp via the ggml.ai's GGUF-my-repo space.
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 lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF --hf-file qwen3-4b-thinking-2507-heretic-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF --hf-file qwen3-4b-thinking-2507-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 lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF --hf-file qwen3-4b-thinking-2507-heretic-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo lyind/Qwen3-4B-Thinking-2507-heretic-Q4_K_M-GGUF --hf-file qwen3-4b-thinking-2507-heretic-q4_k_m.gguf -c 2048Run lyind/Qwen3-4B-Thinking-2507-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