GGUF quantized version of hotdogs/Agents-A1-4B-Fable-Preview-heretic — abliterated with heretic for unrestricted responses. Optimized for llama.cpp inference with vision support.
🔓 Uncensored
This GGUF is the quantized version of the heretic-abliterated model. Refusal mechanisms were reduced to ~11% using heretic while preserving reasoning and tool-calling quality.
✨ Key Features
| Capability | Description |
|---|---|
| 🔓 Uncensored | Refusal rate ~11% — virtually unrestricted |
| 🖼️ Vision Understanding | Image-text-to-text with mmproj |
| 🧠 Fable Reasoning | Step-by-step CoT with <think> blocks |
| 🔧 Tool Calling | llama.cpp --tools all support |
| 💬 Multi-turn | Trained on full agent trajectories |
| 🌏 Thai + English | Native bilingual support |
| 💻 Code & Shell | Python, bash, system tasks |
| ⚡ Fast Inference | IQ4_NL fits in ~3 GB VRAM |
📦 Downloads
| File | Size | Description |
|---|---|---|
Agents-A1-4B-Fable-Preview-heretic-IQ4_NL.gguf | 2.61 GB | Recommended — best quality/speed balance for 8GB VRAM |
Agents-A1-4B-Fable-Preview-heretic-Q4_K_M_imatrix.gguf | 2.71 GB | Q4_K_M + imatrix — slightly higher quality |
Agents-A1-4B-Fable-Preview-heretic-Q6_K_imatrix.gguf | 3.46 GB | Q6_K + imatrix — higher quality, more VRAM |
Agents-A1-4B-Fable-Preview-heretic-Q8_0_imatrix.gguf | 4.48 GB | Q8_0 + imatrix — almost lossless |
Agents-A1-4B-Fable-Preview-heretic-f16.gguf | 8.42 GB | Full BF16 precision |
Agents-A1-4B-mmproj.gguf | 672 MB | Vision projector for image understanding |
🎯 IQ4_NL is recommended for 8GB VRAM users — fits comfortably even at 128K context with flash-attention.
🚀 Usage
Docker (Recommended)
sudo docker run --rm -p 8080:8080 \
-v /root/models/:/models \
--gpus all \
--ulimit memlock=-1:-1 \
--env CUDA_VISIBLE_DEVICES=0 \
ghcr.io/ggml-org/llama.cpp:full-cuda --server \
-m /models/Agents-A1-4B-Fable-Preview-heretic-IQ4_NL.gguf \
--mmproj /models/Agents-A1-4B-mmproj.gguf \
--host 0.0.0.0 --port 8080 \
--n-gpu-layers 999 \
--ctx-size 131072 \
--batch-size 4096 \
--ubatch-size 256 \
--cache-type-k f16 \
--cache-type-v f16 \
--flash-attn on \
--cont-batching \
--mlock \
--temp 0.95 \
--top-k 40 \
--top-p 0.9 \
--min-p 0.0 \
-n -1 \
--no-mmap \
--parallel 1 --tools all \
--dry-multiplier 0.05 \
--jinja --dry-sequence-breaker none \
--repeat-penalty 1.1
llama.cpp (Direct)
# Quick text-only test
./llama-cli -m Agents-A1-4B-Fable-Preview-heretic-IQ4_NL.gguf \
-p "Hello" -n 100 --temp 0.6 -ngl 999
# Vision inference
./llama-cli -m Agents-A1-4B-Fable-Preview-heretic-IQ4_NL.gguf \
--mmproj Agents-A1-4B-mmproj.gguf \
--image photo.jpg \
-p "What is in this image?" -n 256 --temp 0.6 -ngl 999
🧬 Model Information
This is a GGUF quantized version of hotdogs/Agents-A1-4B-Fable-Preview-heretic, which is an abliterated fine-tune of InternScience/Agents-A1-4B.
| Parameter | Value |
|---|---|
| Base Model | hotdogs/Agents-A1-4B-Fable-Preview-heretic |
| Parameters | ~4.29B |
| Architecture | Qwen3.5 hybrid (Linear + Full attention) |
| Vision | ✅ 24-layer ViT encoder via mmproj |
| Context | Up to 128K tokens |
| Format | ChatML (Jinja2 template) |
| Fine-tuning | Fable-style reasoning traces (3,500 samples, 3 epochs) |
| Abliteration | heretic — refusal rate ~11% |
⚠️ Disclaimer
This model is uncensored and may generate content that is offensive, harmful, or inappropriate. Use at your own risk. The authors are not responsible for any misuse.
🙏 Acknowledgements / ขอบคุณ
- InternScience — For the Agents-A1-4B base model and mmproj vision projector 🙏
- mmproj source — Extracted from InternScience/Agents-A1-4B-Q4_K_M-GGUF
- p-e-w — For the heretic abliteration tool
- Qwen Team (Alibaba) — For the Qwen3.5 architecture
- Unsloth AI — For training optimizations
- All dataset contributors and the open-source AI community ❤️
💖 Support / โปรดสนับสนุน
If you find this model useful, please consider supporting my work!
หากคุณคิดว่าโมเดลนี้มีประโยชน์ กรุณาสนับสนุนผลงานของฉันด้วยนะคะ! 🙏
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Thank you for your support! 🙏✨
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