Instructions to use lmstudio-community/Athene-70B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmstudio-community/Athene-70B-GGUF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lmstudio-community/Athene-70B-GGUF") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lmstudio-community/Athene-70B-GGUF", dtype="auto") - llama-cpp-python
How to use lmstudio-community/Athene-70B-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="lmstudio-community/Athene-70B-GGUF", filename="Athene-70B-IQ3_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use lmstudio-community/Athene-70B-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/Athene-70B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/Athene-70B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/Athene-70B-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/Athene-70B-GGUF: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 lmstudio-community/Athene-70B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf lmstudio-community/Athene-70B-GGUF: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 lmstudio-community/Athene-70B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf lmstudio-community/Athene-70B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/lmstudio-community/Athene-70B-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use lmstudio-community/Athene-70B-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmstudio-community/Athene-70B-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/Athene-70B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lmstudio-community/Athene-70B-GGUF:Q4_K_M
- SGLang
How to use lmstudio-community/Athene-70B-GGUF with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "lmstudio-community/Athene-70B-GGUF" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/Athene-70B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "lmstudio-community/Athene-70B-GGUF" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/Athene-70B-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use lmstudio-community/Athene-70B-GGUF with Ollama:
ollama run hf.co/lmstudio-community/Athene-70B-GGUF:Q4_K_M
- Unsloth Studio new
How to use lmstudio-community/Athene-70B-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lmstudio-community/Athene-70B-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lmstudio-community/Athene-70B-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lmstudio-community/Athene-70B-GGUF to start chatting
- Docker Model Runner
How to use lmstudio-community/Athene-70B-GGUF with Docker Model Runner:
docker model run hf.co/lmstudio-community/Athene-70B-GGUF:Q4_K_M
- Lemonade
How to use lmstudio-community/Athene-70B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lmstudio-community/Athene-70B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Athene-70B-GGUF-Q4_K_M
List all available models
lemonade list
💫 Community Model> Athene 70B by Nexusflow
👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.
Model creator: Nexusflow
Original model: Athene-70B
GGUF quantization: provided by bartowski based on llama.cpp release b3412
Model Summary:
This is a finetune of Llama 3 70B finetuned on high-quality preference data for targeted Reinforcement Learning from Human Feedback.
With this training, Nexusflow has achieved large improvements in several areas, such as instruction following, math, coding, creative writing, and multilingual capabilities.
Prompt template:
Choose the Llama 3 preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Technical Details
Nexusflow created a rigorous benchmark to evaluate model capabilities across a range of tasks and categories, and with the results of those tests, developed a dataset for RLHF training.
Built on top of the success of Starling LM, a great performing 7B model, this tune shows large improvements over the default Llama 3 release.
For more details, check their blog post here
Special thanks
🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
🙏 Special thanks to Kalomaze for his dataset (linked here) for imatrix calibration.
Disclaimers
LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
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Model tree for lmstudio-community/Athene-70B-GGUF
Base model
meta-llama/Meta-Llama-3-70B