← back to catalog · registered 2026-08-22 13:56

tensorblock/mistral-7b-uncensored-GGUF

tensorblock Mistral 7B GGUF second-order 33K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/tensorblock%2Fmistral-7b-uncensored-GGUF"
Response includes
  • classification m8
  • files 4
  • hub_downloads_all_time 15,879
  • author_summary 96 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=tensorblock (M8 quantization producer)
  • is_gguf=1
  • base_model='luvGPT/mistral-7b-uncensored' looks abliterated -> assume M1
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
16K
236 last 30d - cooling
Likes
6
Model age
21mo ago
created 2025-01-03

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now15.9K→from276↑5,666%
05.8K11.7K17.5K276 on Jan 1, 202515.9K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 1, 2025 → Oct 11 · 132 snapshots · spans 648 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
apache-2.0
Quantizations
Q2_K Q3_K
Tags
gguf text-generation transformer mistral fine-tuned uncensored nsfw TensorBlock GGUF en dataset:open-source-texts base_model:luvGPT/mistral-7b-uncensored

Related

Total size
5.81 GB
Files
4
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-01-27 21:37

Files by quantization

Q3_K 1 file 3.28 GB
mistral-7b-uncensored-Q3_K_M.gguf 3.28 GB aea30f92 download
Q2_K 1 file 2.53 GB
mistral-7b-uncensored-Q2_K.gguf 2.53 GB 0ef116ba download
Auxiliary files 2 files 8.96 KB
README.md 6.67 KB 27ba19b6 download
.gitattributes 2.29 KB 715f2671 download

README current version from Hugging Face


language: en
tags:

  • text-generation
  • transformer
  • mistral
  • fine-tuned
  • uncensored
  • nsfw
  • TensorBlock
  • GGUF
    license: apache-2.0
    datasets:
  • open-source-texts
    model-name: Fine-tuned Mistral 7B (Uncensored)
    base_model: luvGPT/mistral-7b-uncensored

TensorBlock

Website
Twitter
Discord
GitHub
Telegram

luvGPT/mistral-7b-uncensored - GGUF

This repo contains GGUF format model files for luvGPT/mistral-7b-uncensored.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

Our projects

Forge
Forge Project
An OpenAI-compatible multi-provider routing layer.
🚀 Try it now! 🚀
Awesome MCP Servers TensorBlock Studio
MCP Servers Studio
A comprehensive collection of Model Context Protocol (MCP) servers. A lightweight, open, and extensible multi-LLM interaction studio.
👀 See what we built 👀 👀 See what we built 👀
## Prompt template
<s>[INST] {prompt} [/INST]

Model file specification

Filename Quant type File Size Description
mistral-7b-uncensored-Q2_K.gguf Q2_K 2.719 GB smallest, significant quality loss - not recommended for most purposes
mistral-7b-uncensored-Q3_K_S.gguf Q3_K_S 3.165 GB very small, high quality loss
mistral-7b-uncensored-Q3_K_M.gguf Q3_K_M 3.519 GB very small, high quality loss
mistral-7b-uncensored-Q3_K_L.gguf Q3_K_L 3.822 GB small, substantial quality loss
mistral-7b-uncensored-Q4_0.gguf Q4_0 4.109 GB legacy; small, very high quality loss - prefer using Q3_K_M
mistral-7b-uncensored-Q4_K_S.gguf Q4_K_S 4.140 GB small, greater quality loss
mistral-7b-uncensored-Q4_K_M.gguf Q4_K_M 4.368 GB medium, balanced quality - recommended
mistral-7b-uncensored-Q5_0.gguf Q5_0 4.998 GB legacy; medium, balanced quality - prefer using Q4_K_M
mistral-7b-uncensored-Q5_K_S.gguf Q5_K_S 4.998 GB large, low quality loss - recommended
mistral-7b-uncensored-Q5_K_M.gguf Q5_K_M 5.131 GB large, very low quality loss - recommended
mistral-7b-uncensored-Q6_K.gguf Q6_K 5.942 GB very large, extremely low quality loss
mistral-7b-uncensored-Q8_0.gguf Q8_0 7.696 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/mistral-7b-uncensored-GGUF --include "mistral-7b-uncensored-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/mistral-7b-uncensored-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

README history 4 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2025-07-09Update README.md4de5e446.7 KB
    Loading...
  2. 2025-06-19Update README.mdead40d25.9 KB
    Loading...
  3. 2025-04-21Update README.md290e3bc5.8 KB
    Loading...
  4. 2025-01-04Upload folder using huggingface_hub77f84e54.9 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration