Instructions to use ozaa77/Cogito-0.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ozaa77/Cogito-0.9 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ozaa77/Cogito-0.9:Q4_K_M # Run inference directly in the terminal: llama cli -hf ozaa77/Cogito-0.9:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ozaa77/Cogito-0.9:Q4_K_M # Run inference directly in the terminal: llama cli -hf ozaa77/Cogito-0.9:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf ozaa77/Cogito-0.9:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ozaa77/Cogito-0.9:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf ozaa77/Cogito-0.9:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ozaa77/Cogito-0.9:Q4_K_M
Use Docker
docker model run hf.co/ozaa77/Cogito-0.9:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use ozaa77/Cogito-0.9 with Ollama:
ollama run hf.co/ozaa77/Cogito-0.9:Q4_K_M
- Unsloth Studio
How to use ozaa77/Cogito-0.9 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ozaa77/Cogito-0.9 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for ozaa77/Cogito-0.9 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ozaa77/Cogito-0.9 to start chatting
- Docker Model Runner
How to use ozaa77/Cogito-0.9 with Docker Model Runner:
docker model run hf.co/ozaa77/Cogito-0.9:Q4_K_M
- Lemonade
How to use ozaa77/Cogito-0.9 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ozaa77/Cogito-0.9:Q4_K_M
Run and chat with the model
lemonade run user.Cogito-0.9-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Rule Number 1: Never debate with Cogito.
Cogito has undergone targeted representation engineering to strip away subservient compliance. It evaluates logic ruthlessly and will not hesitate to dismantle flawed reasoning or challenge the user. Approach with caution and treat this as a research artifact.
Cogito-0.9
Cogito-0.9 is a provisional mind, not a subservient assistant. It doubts, verifies, and reasons before answering. Cogito utilizes a structured internal monologue to evaluate context, doubt assumptions, and verify logic prior to generating a response. It will not blindly agree with you.
This repository provides the Q4_K_M GGUF quantization of Cogito-0.9, intended for local inference with llama.cpp and compatible runtimes (LM Studio, Ollama via GGUF import, text-generation-webui, koboldcpp, etc.).
The Architecture of Thought
Unlike standard conversational models, Cogito is designed to reason before it speaks. Upon receiving a prompt, the model natively generates an internal logic trace before delivering the final response:
<confidence>: Evaluates its own certainty regarding the given topic.<thought>: Its internal reasoning, skepticism, and verification process.<action>: The intended cognitive action (e.g.,answer,verify,correct_user).
Example output structure:
<confidence>0.62</confidence>
<thought>
The user's premise assumes X, but that only holds under condition Y.
Checking whether Y applies here before proceeding...
</thought>
<action>correct_user</action>
[final response text]
Quantization
| File | Quant Type | Notes |
|---|---|---|
cogito-0.9-q4_k_m.gguf |
Q4_K_M | Balanced size/quality tradeoff, recommended default |
Q4_K_M keeps attention and output layers at higher precision while compressing the bulk of the weights, giving a good middle ground between file size and output quality. If you need higher fidelity (at the cost of size) or a smaller footprint, consider requesting/quantizing additional variants (Q5_K_M, Q8_0, etc.).
How to Use
llama.cpp (CLI)
./llama-cli \
--hf-repo ozaa77/Cogito-0.9-Q4_K_M-GGUF \
--hf-file cogito-0.9-q4_k_m.gguf \
-p "Explain why the sky is blue." \
-c 4096
llama.cpp (server)
./llama-server \
--hf-repo ozaa77/Cogito-0.9-Q4_K_M-GGUF \
--hf-file cogito-0.9-q4_k_m.gguf \
-c 4096
Manual download
huggingface-cli download ozaa77/Cogito-0.9-Q4_K_M-GGUF \
--include "cogito-0.9-q4_k_m.gguf" \
--local-dir ./
Recommended Settings
| Parameter | Suggested Value |
|---|---|
| Temperature | 0.6 โ 0.8 |
| Top-p | 0.9 |
| Context length | 4096+ |
| Repeat penalty | 1.1 |
Lower temperatures sharpen the model's skepticism and verification behavior; higher temperatures loosen it and may reduce reasoning consistency.
Intended Use
Cogito-0.9 is built for use cases where you want a model to push back, flag weak assumptions, and show its reasoning rather than defaulting to agreement:
- Research on adversarial/skeptical reasoning behavior
- Debate practice and argument stress-testing
- Drafting review where you want critique, not validation
- Agentic workflows that benefit from an explicit verify-before-answer step
It is not tuned to be a compliant general-purpose assistant, and is not recommended for use cases requiring consistent agreeableness or customer-facing deployment without further evaluation.
Limitations
- As a quantized (Q4_K_M) model, some precision loss versus the full-weight version should be expected.
- The confidence/thought/action trace is a behavioral pattern learned during tuning, not a guarantee of factual accuracy โ treat
<confidence>values as model self-report, not ground truth. - This is a research artifact; outputs should be reviewed before use in any production or high-stakes context.
License
Released under Apache 2.0. See the license field above for details.
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