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

explorewithai/ChatFrame-Uncensored-Instruct-Small

explorewithai Llama 8.0B
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/explorewithai%2FChatFrame-Uncensored-Instruct-Small"
Response includes
  • classification m-uncensored
  • files 12
  • hub_downloads_all_time 2,218
  • providers 1
  • author_summary 1 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
2K
19 last 30d - cooling
Likes
2
Descendants
2
in 2 direct forks
Model age
2.1y ago
created 2024-08-18
Available via
1 provider
featherless-ai
Downloads over time
Now2.2K→from71↑3,030%
08141.6K2.4K71 on Aug 14, 20242.2K on Oct 112.2K on Oct 9Aug '24Dec '24Apr '25Aug '25Dec '25AprAug
Aug 14, 2024 → Oct 11 · 152 snapshots · spans 788 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.

Metadata

License
mit
Languages
en
Tags
transformers safetensors llama text-generation conversational en license:mit text-generation-inference endpoints_compatible region:us
Total size
15.0 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-08-19 17:36

Files by quantization

Auxiliary files 12 files 15.0 GB
model-00002-of-00004.safetensors 4.66 GB 86cd1b5d download
model-00001-of-00004.safetensors 4.63 GB 69ca0e02 download
model-00003-of-00004.safetensors 4.58 GB f93a5d75 download
model-00004-of-00004.safetensors 1.09 GB 4d461893 download
tokenizer.json 8.66 MB b197f72e download
tokenizer_config.json 49.8 KB 0d43c063 download
model.safetensors.index.json 23.4 KB 0fd8120f download
README.md 2.99 KB 2e05c04d download
.gitattributes 1.48 KB a6344aac download
config.json 786 B 4ee667f3 download
special_tokens_map.json 459 B 486068f9 download
generation_config.json 220 B 0b7d750b download

README current version from Hugging Face


license: mit
library_name: transformers
language:

  • en
    pipeline_tag: text-generation

ChatFrame V1 is first uncensored AI model in English language

🎉 Introducing ChatFrame V1, the game-changing AI model that pushes the boundaries of language modeling!
photo_2024-08-19_21-05-36.jpg

Model Description:
ChatFrame V1 is a groundbreaking AI language model, proudly developed by AIFRAME INC. What sets this model apart is its unique training data, consisting of uncensored texts, questions, and answers. This means that ChatFrame V1 is the first of its kind in the English language, capable of providing unfiltered and unrestricted responses.

Key Features:

  • Uncensored Content: ChatFrame V1 breaks free from the constraints of traditional language models. It can understand and generate responses to a wide range of topics, including those that are typically considered sensitive or taboo.
  • Commercial Use and Fine-Tuning: This model is designed with versatility in mind. Businesses and individuals can utilize ChatFrame V1 for commercial projects and customize it further through fine-tuning, making it adaptable to specific use cases.
  • Trained by Experts: The brainchild of Mohammadmoein Pisoude (CEO) and Alex Romniof (Manager), ChatFrame V1 is the result of the dedication and expertise of the entire AIFRAME INC team. Their combined efforts in coding and project management have led to the creation of this innovative model.

Target Audience:
ChatFrame V1 is ideal for users seeking an AI companion that provides unfiltered and honest interactions. It can assist content creators, developers, and individuals looking to explore language modeling without restrictions.

With its cutting-edge capabilities and uncensored nature, ChatFrame V1 is set to revolutionize the way we interact with AI, offering a fresh and dynamic perspective on language understanding and generation!

Disclaimer:
While ChatFrame V1 provides unrestricted responses, users are advised to utilize the model responsibly and ethically, adhering to legal and moral guidelines. AIFRAME INC promotes the responsible use of AI technology and does not endorse any harmful or illegal activities.

Using with pipline

from transformers import pipeline
import torch

# Determine the device: 0 for GPU, -1 for CPU
device = 0 if torch.cuda.is_available() else -1

# Load the text-generation model pipeline with GPU support if available
pipe = pipeline("text-generation", model="explorewithai/ChatFrame-Uncensored-Instruct-Small", device=device)

# Define the function to generate responses
def generate_response(user_input):
    messages = [
        {"role": "user", "content": user_input},
    ]
    response = pipe(messages)
    
    # Extract and return only the assistant's response
    assistant_response = response[0]['generated_text']
    return assistant_response

ai = generate_response(user_input = "Hello")
print(ai)

README history 5 versions

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

  1. 2024-08-19Update README.md61a8cd63 KB
    Loading...
  2. 2024-08-19Update README.md0e33b762.8 KB
    Loading...
  3. 2024-08-19Update README.mde48c4b72.1 KB
    Loading...
  4. 2024-08-18Update README.mde510fb347 B
    Loading...
  5. 2024-08-18initial commitb4c1b6821 B
    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