Instructions to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF", filename="Krishnamurti_Agent-SmolLM3-3B-v2-Q5_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF 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 Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_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 Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_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 Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
Use Docker
docker model run hf.co/Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
- LM Studio
- Jan
- vLLM
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
- Ollama
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF with Ollama:
ollama run hf.co/Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
- Unsloth Studio
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF 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 Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF 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 Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF with Docker Model Runner:
docker model run hf.co/Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
- Lemonade
How to use Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF:Q5_K_M
Run and chat with the model
lemonade run user.Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF-Q5_K_M
List all available models
lemonade list
Meditation Agent: Krishnamurti v2 (SmolLM3 3B)
A lightweight single-teacher contemplative model from the Meditation Agent v2 line for Krishnamurti.
This is the v2 successor to Krishnamurti-Agent-SmolLM3-3B-GGUF. It is trained on the newer E-atoms corpus, where the target is teaching_e, not the older atom surface.
Collections:
- New v2 collection: Meditation Agent v2 - EAtoms Teacher Series
- Previous collection: Meditation Agent - Non-Dual Self-Realization Teacher Series
Why Download This
- Single-teacher branch. This model is tuned specifically for Krishnamurti, not the mixed multi-teacher voice.
- Small local footprint. The current release file is
Q5_K_M, which runs comfortably on local setups that cannot host larger models. - Newer v2 corpus. The
E-atomsline is sharper, less synthetic, and less likely to collapse into generic spiritual assistant prose.
Teacher Signal
This branch is tuned for choiceless awareness, dismantling of the observer, and fierce refusal of method dependence.
Sample Outputs
These are from the local 5q smoke eval on the finished merged model.
Example 1
Prompt: How does fear relate to thought?
Look at your fear--not just as an idea about it, but actually feel the quality of that contraction in you. Is there any movement in that? Or is there only resistance against something? Thought has created this whole structure called 'fear,' hasn't it? You think: I should not be afraid; I must overcome my fears through willpower or analysis. But look closely now--can you see how thought itself creates what it calls fear? The thinker and his thoughts are identical when he observes fear with judgment rather than direct perception. There's no separation between them then. So we're not dealing with a problem that needs solving; we've been looking at it all wrong from the beginning.
Example 2
Prompt: Is there a self?
What is this'self' you're asking about? Let us look at it directly without assuming anything. When I say something like, 'I am confused,' who is that observer separate from the confusion itself--the thinker and thought? Is not the thinker made entirely of thoughts? Thought creating thought--isn't that what we call consciousness? So when you ask if there's a self, perhaps you should examine whether this consciousness has any substance or independence beyond its own creation.
Example 3
Prompt: What do I do with anger when it arises?
When you are angry, what exactly are you experiencing? There is the sensation in your body -- that tightening of muscles, that flush of heat -- and then there's this mental state: frustration, resentment, justification. These two things are not separate events but one unified movement. You can't stop being angry without understanding both parts. The physical feeling needs attention too, like a wound that must be cleaned before healing can begin. But more crucially, look at how thoughts have built up around that anger over time -- the stories about who did this wrong to me, why they deserve my wrath, how this should make them suffer. Those narratives create the fuel for future explosions. So don't suppress or run from either part; examine them together as one thing. When you see clearly how anger operates through the body and mind simultaneously, something fundamental shifts.
Training Summary
- Base model:
HuggingFaceTB/SmolLM3-3B-Base - Training format:
V6E - Teacher examples:
2,204 - Adapter recipe:
QDoRA + rsLoRA - Rank:
32 - Epochs:
1 - Completion-only loss: enabled
Run Metrics
- Run name:
teacher-smollm3-v6e-krishnamurti-l2-r32 - Training runtime:
19.9 minutes - Final train loss:
1.6916 - Final eval loss:
1.7245 - Final eval token accuracy:
0.5588
Files
Krishnamurti_Agent-SmolLM3-3B-v2-Q5_K_M.gguf(2.2 GB)
Honest Limits
- This is still a compact
3Bmodel, so some broader contemplative phrasing can leak into non-teacher-specific prompts. - The
5qsmoke eval is encouraging, but it is not a full benchmark or final quality proof.
Public Naming
- Public repo:
Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF - Internal model folder:
Krishnamurti_Agent-SmolLM3-3B-v2
- Downloads last month
- 21
5-bit
Model tree for Sathman/Meditation-Agent-Krishnamurti-SmolLM3-3B-v2-GGUF
Base model
HuggingFaceTB/SmolLM3-3B-Base