Transformers
PyTorch
Safetensors
GGUF
English
mistral
text-generation-inference
unsloth
trl
sft
8-bit precision
Instructions to use Beats119/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Beats119/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Beats119/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Beats119/lora_model 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 Beats119/lora_model:Q4_K_M # Run inference directly in the terminal: llama cli -hf Beats119/lora_model:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Beats119/lora_model:Q4_K_M # Run inference directly in the terminal: llama cli -hf Beats119/lora_model: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 Beats119/lora_model:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Beats119/lora_model: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 Beats119/lora_model:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Beats119/lora_model:Q4_K_M
Use Docker
docker model run hf.co/Beats119/lora_model:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Beats119/lora_model with Ollama:
ollama run hf.co/Beats119/lora_model:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Beats119/lora_model with Docker Model Runner:
docker model run hf.co/Beats119/lora_model:Q4_K_M
- Lemonade
How to use Beats119/lora_model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Beats119/lora_model:Q4_K_M
Run and chat with the model
lemonade run user.lora_model-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Uploaded model
- Developed by: Beats119
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.3-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Downloads last month
- 27
Inference Providers NEW
This model isn't deployed by any Inference Provider. 馃檵 Ask for provider support
Model tree for Beats119/lora_model
Base model
mistralai/Mistral-7B-v0.3 Quantized
unsloth/mistral-7b-v0.3-bnb-4bit