Instructions to use mradermacher/ALIA-40b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/ALIA-40b-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/ALIA-40b-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/ALIA-40b-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 mradermacher/ALIA-40b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/ALIA-40b-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/ALIA-40b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/ALIA-40b-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 mradermacher/ALIA-40b-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/ALIA-40b-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 mradermacher/ALIA-40b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/ALIA-40b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/ALIA-40b-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/ALIA-40b-GGUF with Ollama:
ollama run hf.co/mradermacher/ALIA-40b-GGUF:Q4_K_M
- Unsloth Studio
How to use mradermacher/ALIA-40b-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 mradermacher/ALIA-40b-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 mradermacher/ALIA-40b-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mradermacher/ALIA-40b-GGUF to start chatting
- Docker Model Runner
How to use mradermacher/ALIA-40b-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/ALIA-40b-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/ALIA-40b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/ALIA-40b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.ALIA-40b-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
auto-patch README.md
Browse files
README.md
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base_model: BSC-LT/ALIA-40b
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language:
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- bg
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- ca
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static quants of https://huggingface.co/BSC-LT/ALIA-40b
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<!-- provided-files -->
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weighted/imatrix quants
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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---
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base_model: BSC-LT/ALIA-40b
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datasets:
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- oscar-corpus/colossal-oscar-1.0
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- HuggingFaceFW/fineweb-edu
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- joelniklaus/eurlex_resources
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- joelniklaus/legal-mc4
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- projecte-aina/CATalog
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- UFRGS/brwac
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- community-datasets/hrwac
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- danish-foundation-models/danish-gigaword
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- HiTZ/euscrawl
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- PleIAs/French-PD-Newspapers
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- PleIAs/French-PD-Books
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- AI-team-UoA/greek_legal_code
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- HiTZ/latxa-corpus-v1.1
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- allenai/peS2o
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- pile-of-law/pile-of-law
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- PORTULAN/parlamento-pt
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| 20 |
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- hoskinson-center/proof-pile
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| 21 |
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- togethercomputer/RedPajama-Data-1T
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| 22 |
+
- bigcode/starcoderdata
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| 23 |
+
- bjoernp/tagesschau-2018-2023
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- EleutherAI/the_pile_deduplicated
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language:
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- bg
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- ca
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static quants of https://huggingface.co/BSC-LT/ALIA-40b
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/ALIA-40b-i1-GGUF
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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