Safetensors
GGUF
mistral
Merge
mergekit
lazymergekit
Jebadiah/Aria-coder-7b
Jebadiah/Aria-rp-coder-7b
custom_code
Instructions to use Jebadiah/Aria-coder-plus-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Jebadiah/Aria-coder-plus-7b with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Jebadiah/Aria-coder-plus-7b", filename="Aria-rp-coder-plus-7b-F16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Jebadiah/Aria-coder-plus-7b with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Jebadiah/Aria-coder-plus-7b:F16 # Run inference directly in the terminal: llama-cli -hf Jebadiah/Aria-coder-plus-7b:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Jebadiah/Aria-coder-plus-7b:F16 # Run inference directly in the terminal: llama-cli -hf Jebadiah/Aria-coder-plus-7b: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 Jebadiah/Aria-coder-plus-7b:F16 # Run inference directly in the terminal: ./llama-cli -hf Jebadiah/Aria-coder-plus-7b: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 Jebadiah/Aria-coder-plus-7b:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Jebadiah/Aria-coder-plus-7b:F16
Use Docker
docker model run hf.co/Jebadiah/Aria-coder-plus-7b:F16
- LM Studio
- Jan
- Ollama
How to use Jebadiah/Aria-coder-plus-7b with Ollama:
ollama run hf.co/Jebadiah/Aria-coder-plus-7b:F16
- Unsloth Studio new
How to use Jebadiah/Aria-coder-plus-7b 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 Jebadiah/Aria-coder-plus-7b 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 Jebadiah/Aria-coder-plus-7b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Jebadiah/Aria-coder-plus-7b to start chatting
- Docker Model Runner
How to use Jebadiah/Aria-coder-plus-7b with Docker Model Runner:
docker model run hf.co/Jebadiah/Aria-coder-plus-7b:F16
- Lemonade
How to use Jebadiah/Aria-coder-plus-7b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Jebadiah/Aria-coder-plus-7b:F16
Run and chat with the model
lemonade run user.Aria-coder-plus-7b-F16
List all available models
lemonade list
| { | |
| "_name_or_path": "Jebadiah/Aria-coder-7b", | |
| "architectures": [ | |
| "MistralForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "Jebadiah/Aria-ruby-v3--configuration_mistral.MistralConfig", | |
| "AutoModelForCausalLM": "Jebadiah/Aria-ruby-v3--modeling_mistral_yarn.MistralForCausalLM" | |
| }, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 14336, | |
| "max_position_embeddings": 32768, | |
| "max_sequence_length": 131072, | |
| "model_type": "mistral", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "num_key_value_heads": 8, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": { | |
| "factor": 16.0, | |
| "finetuned": true, | |
| "original_max_position_embeddings": 8192, | |
| "type": "yarn" | |
| }, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 131072, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.49.0", | |
| "use_cache": true, | |
| "vocab_size": 32002 | |
| } | |