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misaka-palw
misaka
palw
proof-of-compute
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Instructions to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime 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 Misakachain/Qwen3.6-35B-A3B-PALW-runtime 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 Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M # Run inference directly in the terminal: llama cli -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M # Run inference directly in the terminal: llama cli -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime: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 Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime: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 Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Use Docker
docker model run hf.co/Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime with Ollama:
ollama run hf.co/Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
- Unsloth Desktop
- Pi
How to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime with Docker Model Runner:
docker model run hf.co/Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
- Lemonade
How to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3.6-35B-A3B-PALW-runtime-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Misakachain/Qwen3.6-35B-A3B-PALW-runtime with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Misakachain/Qwen3.6-35B-A3B-PALW-runtime:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 2,557 Bytes
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Copyright 2026 MISAKA-BTC
This product is licensed under the Apache License, Version 2.0 (see LICENSE).
================================================================================
IMPORTANT — what this project is
================================================================================
This repository is a PROOF-OF-COMPUTE RUNTIME that executes an unmodified
upstream Qwen3.6-35B-A3B mixture-of-experts model as a local compute worker and
commits the execution as a signed `ComputeReceiptV1`. It does NOT train,
fine-tune, or otherwise modify the model, and it is NOT itself a new language
model. Model weights are not distributed in this repository; they are fetched at
pinned upstream artifacts (see config/runtime-pins.sh). Production Network
readiness is NOT claimed — see docs/requirements.md for the In-progress
requirements.
================================================================================
Third-party components
================================================================================
1. Qwen3.6-35B-A3B (huihui-ai abliterated release)
Base architecture Copyright Alibaba Cloud, licensed under the Apache License,
Version 2.0. Abliterated derivative by huihui-ai.
https://huggingface.co/huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
https://ollama.com/huihui_ai/Qwen3.6-abliterated
Base metadata revision: ac18882735d037f6074a7630eb68d85db8234c25
GGUF artifact: Ollama huihui_ai/Qwen3.6-abliterated:35b-Claude-4.7,
blob sha256 1dc494614bee8a3bc00e79fe5a49da0fc1c36b3b118c4156e223e98e5a0a671b (Q4_K_M)
The upstream artifact is executed unmodified. Weights are fetched at the
pinned artifacts above and are not redistributed in this repository.
2. llama.cpp (ggml-org/llama.cpp)
Copyright (c) 2023-2026 The ggml authors
Licensed under the MIT License.
https://github.com/ggml-org/llama.cpp
Pinned at commit 12127defda4f41b7679cb2477a4b0d65ee6a0c8f.
patches/llama.cpp-palw-observer.patch redistributes MODIFICATIONS to llama.cpp
source (a read-only graph observer and qwen35moe loader/graph fixes required
to run the pinned GGUF) under the MIT License. The llama.cpp source itself is
not vendored in this repository; it is reconstructed from the pinned commit
(see docs/SETUP.md). The full MIT license text is included at
LICENSES/llama.cpp-MIT.txt.
Rust crate dependencies retain their own upstream licenses as declared in
runtime-palw/Cargo.toml and runtime-palw/Cargo.lock.
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