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

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

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"

Qwen3.6-35B-A3B-PALW-runtime / NOTICE

Misakachain

Initial import: PALW proof-of-compute runtime for Qwen3.6-35B-A3B (code + docs, no model weights)

0985c38 verified about 1 month ago

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	MISAKA PALW runtime for Qwen3.6-35B-A3B
	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.