Instructions to use edward56/mtx7-e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use edward56/mtx7-e 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 edward56/mtx7-e
# Run inference directly in the terminal:
llama cli -hf edward56/mtx7-e

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf edward56/mtx7-e
# Run inference directly in the terminal:
llama cli -hf edward56/mtx7-e

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 edward56/mtx7-e
# Run inference directly in the terminal:
./llama-cli -hf edward56/mtx7-e

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 edward56/mtx7-e
# Run inference directly in the terminal:
./build/bin/llama-cli -hf edward56/mtx7-e

Use Docker

docker model run hf.co/edward56/mtx7-e

LM Studio
Jan
Ollama
How to use edward56/mtx7-e with Ollama:
```
ollama run hf.co/edward56/mtx7-e
```
Unsloth Desktop

How to use edward56/mtx7-e with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf edward56/mtx7-e

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": "edward56/mtx7-e"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use edward56/mtx7-e with Docker Model Runner:
```
docker model run hf.co/edward56/mtx7-e
```

Lemonade

How to use edward56/mtx7-e with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull edward56/mtx7-e

Run and chat with the model

lemonade run user.mtx7-e-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use edward56/mtx7-e with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf edward56/mtx7-e

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 edward56/mtx7-e

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use edward56/mtx7-e with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf edward56/mtx7-e

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 "edward56/mtx7-e" \
  --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"

edward56 commited on Aug 27

Commit

c320fc7

verified ·

1 Parent(s): e2c3828

Round 1237 unsealed recovery: manifest.json

Browse files

Files changed (1) hide show

manifest.json +1 -1

manifest.json CHANGED Viewed

@@ -1 +1 @@

- {"artifact_digest":"sha256:9fd0eeafd5596a273bf79d57506e0164b367222d38e7fcc1474766f868dc60a6","declared":{"p95_latency_ms":1902,"peak_rss_bytes":851681280,"size_bytes":396704640},"files":[{"digest":"sha256:f68269bc1b05088d424dbc90a6df3b77af02384c49a6815b63f4167a5a25e6c8","path":"model.gguf","size_bytes":396704640}],"hardware_class":"mt-3g","hotkey":"~~5DS3cLo4HVLZ5XQJRsu94ZUwLNrGTW91U6khc66K4nrwnU6F~~","load":{"base_model":"Qwen/Qwen3-0.6B@c1899de289a04d12100db370d81485cdf75e47ca","entrypoint":"model.gguf","format":"gguf","max_input":{"tokens":541},"preprocessing":{"tokenizer":"tokenizer.json"},"quantization":"Q4_K_M"},"round_index":1237,"sealed":~~{"algorithm":"aes-256-gcm"~~,"~~blob":"artifact.enc","digest":"sha256:13229bd4ad7f7d709dbc484b553ae90d7acf2c6a1517702f58189ecbe3b28044"},"~~signature":"~~183eb366af92bc8b4adeb3cbdd3e40fe8d385456eec1d49e7ecaf924cdf4c43af77d792998a805bd584ee3a72a18bcdccfc12fbbdf6f6d320334e799bfaf3e8e~~","source":"https:huggingface.co/edward56/mtx7-e/resolve/main","system":null,"track":"extract","version":"0.1.2"}

+ {"artifact_digest":"sha256:9fd0eeafd5596a273bf79d57506e0164b367222d38e7fcc1474766f868dc60a6","declared":{"p95_latency_ms":1902,"peak_rss_bytes":851681280,"size_bytes":396704640},"files":[{"digest":"sha256:f68269bc1b05088d424dbc90a6df3b77af02384c49a6815b63f4167a5a25e6c8","path":"model.gguf","size_bytes":396704640}],"hardware_class":"mt-3g","hotkey":"5EnrDrZgGFKu4prx1yW3xWd25vyc5ZyadVMxqunBHaZfe9bc","load":{"base_model":"Qwen/Qwen3-0.6B@c1899de289a04d12100db370d81485cdf75e47ca","entrypoint":"model.gguf","format":"gguf","max_input":{"tokens":541},"preprocessing":{"tokenizer":"tokenizer.json"},"quantization":"Q4_K_M"},"round_index":1237,"sealed":null,"signature":"021e47678181491863481994327d35cebb071e9d48c6598b8f678de91515390eda44dd4b4620d585487f7746dcab444c1085b3bdbed5f5c362124f844f60ef82","source":"https:huggingface.co/edward56/mtx7-e/resolve/main","system":null,"track":"extract","version":"0.1.2"}