Instructions to use Thox-ai/ThoxForge-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Thox-ai/ThoxForge-7B with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit")
model = PeftModel.from_pretrained(base_model, "Thox-ai/ThoxForge-7B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Thox-ai/ThoxForge-7B 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 Thox-ai/ThoxForge-7B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxForge-7B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxForge-7B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxForge-7B: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 Thox-ai/ThoxForge-7B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Thox-ai/ThoxForge-7B: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 Thox-ai/ThoxForge-7B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Thox-ai/ThoxForge-7B:Q4_K_M

Use Docker

docker model run hf.co/Thox-ai/ThoxForge-7B:Q4_K_M

LM Studio
Jan

vLLM

How to use Thox-ai/ThoxForge-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Thox-ai/ThoxForge-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Thox-ai/ThoxForge-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Thox-ai/ThoxForge-7B:Q4_K_M

Ollama
How to use Thox-ai/ThoxForge-7B with Ollama:
```
ollama run hf.co/Thox-ai/ThoxForge-7B:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use Thox-ai/ThoxForge-7B with Docker Model Runner:
```
docker model run hf.co/Thox-ai/ThoxForge-7B:Q4_K_M
```

Lemonade

How to use Thox-ai/ThoxForge-7B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Thox-ai/ThoxForge-7B:Q4_K_M

Run and chat with the model

lemonade run user.ThoxForge-7B-Q4_K_M

List all available models

lemonade list

Atomic Chat

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This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Access to this THOX model is granted manually by THOX.ai LLC.

ThoxForge-7B

Your AI. Your Data. Your Rules.

THOX 'Forge' — code-oriented Mistral-7B-Instruct-v0.3 SFT LoRA with a bundled Q4_K_M GGUF.

What this is

Base: mistralai/Mistral-7B-Instruct-v0.3 (Apache-2.0). Trained on the unsloth bnb-4bit re-upload.
LoRA r=8, α=16; ctx 8192; bundled thoxforge-7b-Q4_K_M.gguf.
The separate ThoxForge-7B-GGUF repo is a placeholder (the DPO variant fails the company-facts gate); this repo holds the runnable artifact.
Gated (manual approval).

Intended use

On-device / edge text generation within the THOX stack. Not a safety-aligned public assistant unless deployed behind THOX guardrails.

Prompt / chat template

<s>[INST] {prompt} [/INST]

Usage

Transformers + PEFT

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "mistralai/Mistral-7B-Instruct-v0.3"
adapter = "Thox-ai/ThoxForge-7B"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)

Bundled GGUF (llama.cpp / Ollama)

huggingface-cli download Thox-ai/ThoxForge-7B --include '*.gguf' --local-dir ./ThoxForge-7B

Model tree for Thox-ai/ThoxForge-7B

Base model

mistralai/Mistral-7B-v0.3

Finetuned

mistralai/Mistral-7B-Instruct-v0.3

Adapter

(857)

this model

Thox-ai
/

ThoxForge-7B