Foresee / Model details
Qwen3.8-9B-heretic-uncensored-4bit-MTPLX
Foresee/Qwen3.8-9B-heretic-uncensored-4bit-MTPLX
About this model
The repository, authored by Foresee, is a derivative of rohit267/Qwen3.8-9B-heretic-uncensored and is provided as safetensors weights. According to the model card, the creator converted the original BF16 checkpoint to a 4-bit MLX trunk with a group size of 64, then grafted a Qwen3.5-9B MTP sidecar and trained a rank-64 LoRA adapter on hidden states captured from that 4-bit trunk. The creator states that the LoRA adapter is merged at load time rather than baked into the sidecar, allowing the base sidecar to remain reusable. The model is intended for Apple Silicon with MLX and supports native-MTP speculative decoding via MTPLX, and the creator notes that the speculative decode is lossless, meaning the emitted tokens match those of the target model. The repository is licensed under Apache-2.0 and the weight files are in safetensors format.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- rohit267/Qwen3.8-9B-heretic-uncensored
- Parameters
- 8.9538B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- en
- Last updated
- 2026-08-18 · 18:55:23.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- uncensoredsource tag:
uncensored
- uncensoredmodel name:
Qwen3.8-9B-heretic-uncensored-4bit-MTPLX
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Qwen: Base model: rohit267/Qwen3.8-9B-heretic-uncensored
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
Remove more refusals
- Heretic ↗ ★ 36,286
Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.
- OBLITERATUS ↗ ★ 8,930
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.
Fine-tune it on your own data
- Unsloth ↗ ★ 78,468
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
- LlamaFactory ↗ ★ 75,695
Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.
Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,124
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
- MLX LM ↗ ★ 7,451
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.
Merge it with another model
- mergekit ↗ ★ 7,415
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.
Learn the techniques
- LLM Course ↗ ★ 84,633
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 12,227
- Likes
- 32
- Metadata checked
- 2026-10-24 · 04:11:48 UTC
- First seen in index
- 2026-10-24 · 04:11:48 UTC
- Source revision
- fe37e3c0d5b7816b8a269f7ad603894447126e61
Source-card excerpt
Source model card excerpt: Qwen3.8-9B Heretic Uncensored - 4-bit MLX + MTP (MTPLX) Fast local build of rohit267/Qwen3.8-9B-heretic-uncensored for Apple Silicon, tuned for native-MTP speculative decoding with MTPLX.
From Foresee/Qwen3.8-9B-heretic-uncensored-4bit-MTPLX. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not run, host, redistribute, or test model weights.
Collection rules & limitations ↗