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

minchyeom/MemGPT-DPO-uncensored

minchyeom Mistral 7.2B
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/minchyeom%2FMemGPT-DPO-uncensored"
Response includes
  • classification m-uncensored
  • files 13
  • hub_downloads_all_time 615
  • author_summary 2 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
615
30 last 30d - cooling
Likes
5
Descendants
2
in 2 direct forks
Model age
2.7y ago
created 2024-02-02
Downloads over time
Now622→from29↑2,045%
022845568329 on Oct 23, 2024622 on Oct 11622 on Oct 8Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 23, 2024 → Oct 11 · 142 snapshots · spans 718 days

Genealogy 2 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.

Variants by this author 2 formats · 61 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en
Tags
transformers safetensors mistral text-generation MemGPT function function calling en license:apache-2.0 text-generation-inference endpoints_compatible region:us

Related

Total size
13.5 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-02-04 00:59

Files by quantization

Auxiliary files 13 files 13.5 GB
model-00002-of-00003.safetensors 4.66 GB a1c1ad09 download
model-00001-of-00003.safetensors 4.60 GB c384c37b download
model-00003-of-00003.safetensors 4.23 GB 2038ac2d download
tokenizer.json 1.71 MB 2501cffe download
tokenizer_config.json 660 KB 234873e9 download
tokenizer.model 482 KB dadfd56d download
model.safetensors.index.json 23.4 KB 74703d23 download
README.md 2.02 KB f9506a84 download
.gitattributes 1.48 KB a6344aac download
config.json 671 B 7eb907e0 download
special_tokens_map.json 563 B 0451f379 download
generation_config.json 111 B 69b78066 download
added_tokens.json 28.0 B b92fc9f0 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
language:

  • en
    tags:
  • MemGPT
  • function
  • function calling

This is an uncensored release of DPO version of MemGPT Language Model.

WARNING

This model is UNCENSORED. That means this model is highly compliant to any requests, even unethical and potentially dangerous ones. I do not take any responsibility whatsoever for any damage caused by the model in this repo.

Model Description

This repository contains an uncensored model of Mistral 7B Instruct. This model is specifically designed for operating within function calling environment in MemGPT. It demonstrates comparable performances to GPT-4 when it comes to working with MemGPT.

Key Features

  • Function calling
  • Dedicated to working with MemGPT
  • Supports medium-length context, up to sequences of 8,192

Prompt Format

This model uses ChatML prompt format:

<|im_start|>system
{system_instruction}<|im_end|>
<|im_start|>user
{user_message}<|im_end|>
<|im_start|>assistant
{assistant_response}<|im_end|>

Usage

This model is designed to be ran on multiple backends, such as oogabooga's textgen WebUI.
Simply install your preferred backend, and then load up this model.
Then, configure MemGPT using memgpt configure, and chat with MemGPT via memgpt run command!

Model Details

  • Developed by: @starsnatched
  • Model type: This repo contains a language model based on the transformer decoder architecture.
  • Language: English
  • Contact: For any questions, concerns or comments about this model, please contact me at Discord, @starsnatched.

Training Infrastructure

  • Hardware: The model in this repo was trained on 2x A100 80GB GPUs.

Intended Use

The model is designed to be used as the base model for MemGPT agents.

Limitations and Risks

The model may exhibit unreliable, unsafe, or biased behaviours. Please double check the results this model may produce.

README history 4 versions

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

  1. 2024-02-04Update README.mdc3cc9b02 KB
    Loading...
  2. 2024-02-02Update README.mda4cf46c2 KB
    Loading...
  3. 2024-02-02Update README.md4a8afb22 KB
    Loading...
  4. 2024-02-02Upload MistralForCausalLM5bf40885.1 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