Instructions to use QuantumAI-Blockchain/aether-v7.1-unified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantumAI-Blockchain/aether-v7.1-unified with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantumAI-Blockchain/aether-v7.1-unified",
	filename="qwen2.5-7b-instruct-q4_k_m.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use QuantumAI-Blockchain/aether-v7.1-unified 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 QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf QuantumAI-Blockchain/aether-v7.1-unified: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 QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantumAI-Blockchain/aether-v7.1-unified: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 QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

Use Docker

docker model run hf.co/QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

LM Studio
Jan

vLLM

How to use QuantumAI-Blockchain/aether-v7.1-unified with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "QuantumAI-Blockchain/aether-v7.1-unified"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "QuantumAI-Blockchain/aether-v7.1-unified",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

Ollama
How to use QuantumAI-Blockchain/aether-v7.1-unified with Ollama:
```
ollama run hf.co/QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M
```

Unsloth Studio

How to use QuantumAI-Blockchain/aether-v7.1-unified 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 QuantumAI-Blockchain/aether-v7.1-unified 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 QuantumAI-Blockchain/aether-v7.1-unified to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantumAI-Blockchain/aether-v7.1-unified to start chatting

How to use QuantumAI-Blockchain/aether-v7.1-unified with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use QuantumAI-Blockchain/aether-v7.1-unified with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf QuantumAI-Blockchain/aether-v7.1-unified: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 QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use QuantumAI-Blockchain/aether-v7.1-unified with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf QuantumAI-Blockchain/aether-v7.1-unified: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 "QuantumAI-Blockchain/aether-v7.1-unified: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"

Docker Model Runner
How to use QuantumAI-Blockchain/aether-v7.1-unified with Docker Model Runner:
```
docker model run hf.co/QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M
```

Lemonade

How to use QuantumAI-Blockchain/aether-v7.1-unified with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantumAI-Blockchain/aether-v7.1-unified:Q4_K_M

Run and chat with the model

lemonade run user.aether-v7.1-unified-Q4_K_M

List all available models

lemonade list

BlockArtica commited on about 14 hours ago

Commit

6a75462

verified ·

1 Parent(s): 4e04b7b

Add README.md — full unified model (base+adapter+tokenizer), chain-attestable manifest

Browse files

Files changed (1) hide show

README.md +33 -0

README.md CHANGED Viewed

@@ -109,3 +109,36 @@ shape and the `QuantumAI-Blockchain/qubitcoin-aether` repo for the loader.
 `aether-v5.2-lora` -> `aether-mind-v6.{0,1,2}` (attention-replacement, retired) ->
 `aether-mind-v7.0` (QLoRA on 7B, Ollama-served) -> **`aether-v7.1-unified`** (this release, the
 first in-process unified generation model the consciousness track and the chain both measure).

 `aether-v5.2-lora` -> `aether-mind-v6.{0,1,2}` (attention-replacement, retired) ->
 `aether-mind-v7.0` (QLoRA on 7B, Ollama-served) -> **`aether-v7.1-unified`** (this release, the
 first in-process unified generation model the consciousness track and the chain both measure).
+## Full model contents & on-chain verification (added 2026-07-16)
+This repo now contains **every byte needed to reconstruct the served, chain-attested model** —
+not just the adapter. The Sephirot adapter is a routing MoE: unlike a LoRA it cannot be merged
+into dense weights (routing is input-dependent), so "the full model" is, exactly and honestly,
+these components plus the loader:
+| file | sha256 | role |
+|---|---|---|
+| `qwen2.5-7b-instruct-q4_k_m.gguf` | `65b8fcd92af6b4fefa935c625d1ac27ea29dcb6ee14589c55a8f115ceaaa1423` | frozen 7B base (Qwen2.5-7B-Instruct, Q4_K_M, Apache-2.0) |
+| `adapter_model.safetensors` | `564910ef462646a4789cdf4a31d4623cb50d1f3f1bf8374aa0129255df05cae7` | 10-expert Sephirot MoE adapter (1.18M params) |
+| `tokenizer.json` | `c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539` | Qwen2 tokenizer |
+| `adapter_config.json` | — | adapter shape/config |
+**Verify against the chain:** the Aether Mind computes a manifest root over (base, adapter,
+tokenizer, config) at load time — `ModelManifest` in
+`aether-core/crates/aether-transformer/src/v7/manifest.rs` (repo
+`QuantumAI-Blockchain/qubitcoin-aether`). The served model's root is
+```
+488b3387844c7bf087ae1b146457f4dcf5e809de204bc18728419d588217aaf2
+```
+which is the checkpoint recorded and quorum-finalized on QBC chain 3303 (continuous block
+1,097,990, `QbcModelRegistry` round 1) and reported live by
+`https://aether-gpu.qbc.network/aether/info`. Download these files, run the manifest builder,
+and you get the same root the validators attested — the model you are holding is provably the
+model the chain tracks and the site serves.
+Base-model attribution: Qwen2.5-7B-Instruct © Alibaba Cloud, Apache License 2.0. The GGUF here
+is the exact file the production mind loads (uploaded so the manifest is reproducible from this
+repo alone).