Instructions to use gsstec/G1-360M_V18.2_PRODUCTION_F16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use gsstec/G1-360M_V18.2_PRODUCTION_F16 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 gsstec/G1-360M_V18.2_PRODUCTION_F16:F16
# Run inference directly in the terminal:
llama cli -hf gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf gsstec/G1-360M_V18.2_PRODUCTION_F16:F16
# Run inference directly in the terminal:
llama cli -hf gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

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 gsstec/G1-360M_V18.2_PRODUCTION_F16:F16
# Run inference directly in the terminal:
./llama-cli -hf gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

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 gsstec/G1-360M_V18.2_PRODUCTION_F16:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

Use Docker

docker model run hf.co/gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

LM Studio
Jan

vLLM

How to use gsstec/G1-360M_V18.2_PRODUCTION_F16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gsstec/G1-360M_V18.2_PRODUCTION_F16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "gsstec/G1-360M_V18.2_PRODUCTION_F16",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

Ollama
How to use gsstec/G1-360M_V18.2_PRODUCTION_F16 with Ollama:
```
ollama run hf.co/gsstec/G1-360M_V18.2_PRODUCTION_F16:F16
```
Unsloth Desktop
Docker Model Runner
How to use gsstec/G1-360M_V18.2_PRODUCTION_F16 with Docker Model Runner:
```
docker model run hf.co/gsstec/G1-360M_V18.2_PRODUCTION_F16:F16
```

Lemonade

How to use gsstec/G1-360M_V18.2_PRODUCTION_F16 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gsstec/G1-360M_V18.2_PRODUCTION_F16:F16

Run and chat with the model

lemonade run user.G1-360M_V18.2_PRODUCTION_F16-F16

List all available models

lemonade list

Atomic Chat

gsstec commited on 13 days ago

Commit

bc49fea

verified ·

1 Parent(s): bf34e2e

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.gitattributes +3 -0
G1_journey.png +3 -0
G1_training.png +3 -0
README.md +10 -0
how-it-works.png +3 -0

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@@ -35,3 +35,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 G1-360M_V18.2_PRODUCTION_F16.gguf filter=lfs diff=lfs merge=lfs -text
 g1.png filter=lfs diff=lfs merge=lfs -text

 *tfevents* filter=lfs diff=lfs merge=lfs -text
 G1-360M_V18.2_PRODUCTION_F16.gguf filter=lfs diff=lfs merge=lfs -text
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+G1_journey.png filter=lfs diff=lfs merge=lfs -text
+G1_training.png filter=lfs diff=lfs merge=lfs -text
+how-it-works.png filter=lfs diff=lfs merge=lfs -text

G1_journey.png ADDED Viewed

Git LFS Details

SHA256: 0c3bd4cbf255949b4c36799893c73918edd0ef2c218649e597a3135a25ee8f39
Pointer size: 131 Bytes
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G1_training.png ADDED Viewed

Git LFS Details

SHA256: 62fc5859a55bf6176e2eb6291c97540e37997352ecc7f565f58c2338362097ec
Pointer size: 131 Bytes
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README.md CHANGED Viewed

@@ -35,6 +35,12 @@ base_model: G1-360M
 G1 is designed to operate as an enterprise AI assistant that helps users reason about business systems and operational processes while maintaining explicit assumptions and avoiding unsupported claims.
 ## Developer
 **Gaston Software Solutions LLP (GSS-LLP)**
@@ -162,6 +168,8 @@ Organizations can therefore adapt G1 for their own domain while retaining the ri
 This release is distributed as a **GGUF F16** model and is intended for local inference environments supporting GGUF models.
 Typical deployment environments include:
 - llama.cpp
@@ -258,6 +266,8 @@ G1-360M V18.2 is part of the G1 model development series developed by GSS-LLP.
 The production release incorporates iterative model development and behavioral-repair training intended to improve practical enterprise behavior, including constraint following, arithmetic, validation, security reasoning, decision reasoning, enterprise architecture, offline resilience, instruction following, and self-correction.
 ## License
 G1-360M V18.2 is distributed under the **G1-360M Commercial License**.

 G1 is designed to operate as an enterprise AI assistant that helps users reason about business systems and operational processes while maintaining explicit assumptions and avoiding unsupported claims.
+> **Runs on 3 GB RAM.** G1-360M V18.2 (GGUF F16) can be loaded and run on devices with as little as 3 GB of available RAM, making it practical for local workstations, laptops, edge servers, and offline enterprise environments without requiring dedicated GPU hardware.
+## Model journey
+![G1-360M Model Journey](G1_journey.png)
 ## Developer
 **Gaston Software Solutions LLP (GSS-LLP)**
 This release is distributed as a **GGUF F16** model and is intended for local inference environments supporting GGUF models.
+![How G1 Works](how-it-works.png)
 Typical deployment environments include:
 - llama.cpp
 The production release incorporates iterative model development and behavioral-repair training intended to improve practical enterprise behavior, including constraint following, arithmetic, validation, security reasoning, decision reasoning, enterprise architecture, offline resilience, instruction following, and self-correction.
+![G1 Training Pipeline](G1_training.png)
 ## License
 G1-360M V18.2 is distributed under the **G1-360M Commercial License**.

how-it-works.png ADDED Viewed

Git LFS Details

SHA256: a7b0e7e376a8ab2c5802e3507daca01b7ac78cbdf65b30d32865f5e9d2239a55
Pointer size: 131 Bytes
Size of remote file: 207 kB