Instructions to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-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 rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
llama cli -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

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 rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
./llama-cli -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

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 rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

Use Docker

docker model run hf.co/rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

LM Studio
Jan
Ollama
How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with Ollama:
```
ollama run hf.co/rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K
```
Unsloth Desktop

How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

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": "rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with Docker Model Runner:
```
docker model run hf.co/rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K
```

Lemonade

How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

Run and chat with the model

lemonade run user.FastContext-1.0-4B-SFT-Q6_K-GGUF-Q6_K

List all available models

lemonade list

Hermes Agent

How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

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 rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K

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 "rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF:Q6_K" \
  --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"

FastContext-1.0-4B-SFT-Q6_K-GGUF / README.md

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metadata

language:
  - en
license: mit
tags:
  - Explorer SubAgent
  - Repository Exploration
  - llama-cpp
  - gguf-my-repo
library_name: transformers
base_model: microsoft/FastContext-1.0-4B-SFT

rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF

This model was converted to GGUF format from microsoft/FastContext-1.0-4B-SFT using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF --hf-file fastcontext-1.0-4b-sft-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF --hf-file fastcontext-1.0-4b-sft-q6_k.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF --hf-file fastcontext-1.0-4b-sft-q6_k.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo rocketsvm/FastContext-1.0-4B-SFT-Q6_K-GGUF --hf-file fastcontext-1.0-4b-sft-q6_k.gguf -c 2048