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RichardErkhov/explorewithai_-_ChatFrame-Uncensored-Instruct-Small-8bits

RichardErkhov Llama 7.0B
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  • files 10
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  • author_summary 257 models
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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

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Downloads · lifetime
54
4 last 30d - cooling
Likes
0
Model age
18mo ago
created 2025-03-29
Downloads over time
Now57→from2↑2,750%
02142632 on Mar 26, 202557 on Oct 1157 on Oct 8Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 26, 2025 → Oct 11 · 120 snapshots · spans 564 days

Metadata

Tags
safetensors llama 8-bit bitsandbytes region:us

Related

Total size
8.46 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-29 05:00

Files by quantization

Auxiliary files 10 files 8.48 GB
model-00001-of-00002.safetensors 4.65 GB 361b7957 download
model-00002-of-00002.safetensors 3.81 GB 85bb21aa download
tokenizer.json 16.4 MB 3c5cf440 download
model.safetensors.index.json 59.8 KB 9792b1a7 download
tokenizer_config.json 49.9 KB 84fe4803 download
README.md 3.40 KB 8e6b3656 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.25 KB f516e0ba download
special_tokens_map.json 459 B 486068f9 download
generation_config.json 220 B 96d22e7a download

README current version from Hugging Face

Quantization made by Richard Erkhov.

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ChatFrame-Uncensored-Instruct-Small - bnb 8bits

Original model description:

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 1 version

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

  1. 2025-03-29uploaded readmef7bd53d3.4 KB
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