Instructions to use akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use akhilfau/Instruction_fine_tuned_on_camel_ai_physics_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 akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf
# Run inference directly in the terminal:
llama cli -hf akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf

Install from WinGet (Windows)

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

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 akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf
# Run inference directly in the terminal:
./llama-cli -hf akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf

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 akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf
# Run inference directly in the terminal:
./build/bin/llama-cli -hf akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf

Use Docker

docker model run hf.co/akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf

LM Studio
Jan
Ollama
How to use akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf with Ollama:
```
ollama run hf.co/akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf
```
Unsloth Desktop
Docker Model Runner
How to use akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf with Docker Model Runner:
```
docker model run hf.co/akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf
```

Lemonade

How to use akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull akhilfau/Instruction_fine_tuned_on_camel_ai_physics_gguf

Run and chat with the model

lemonade run user.Instruction_fine_tuned_on_camel_ai_physics_gguf-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Instruction Fine-Tuned on Camel AI Physics - GGUF Format

This is a fine-tuned version of the Camel AI Physics model, converted to GGUF format for use in LM Studio, Ollama, and other Llama.cpp-based tools.

📌 Model Details

Base Model: Camel AI Physics
Format: GGUF
Usage: Compatible with LM Studio, Ollama, and mobile devices.

🔧 Usage

LM Studio

Download this model from Hugging Face.
Load it into LM Studio and run inference.

Using with `llama.cpp`

./main -m model.gguf -p "What is Newton's Second Law?"

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GGUF

Model size

0.4B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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Instruction Fine-Tuned on Camel AI Physics - GGUF Format

📌 Model Details

🔧 Usage

LM Studio

Using with llama.cpp

Using with `llama.cpp`