Instructions to use roleplaiapp/ALIA-40b-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use roleplaiapp/ALIA-40b-Q8_0-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="roleplaiapp/ALIA-40b-Q8_0-GGUF")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("roleplaiapp/ALIA-40b-Q8_0-GGUF", dtype="auto")

llama-cpp-python

How to use roleplaiapp/ALIA-40b-Q8_0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="roleplaiapp/ALIA-40b-Q8_0-GGUF",
	filename="alia-40b-q8_0.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use roleplaiapp/ALIA-40b-Q8_0-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 roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

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 roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

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 roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

LM Studio
Jan

vLLM

How to use roleplaiapp/ALIA-40b-Q8_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "roleplaiapp/ALIA-40b-Q8_0-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "roleplaiapp/ALIA-40b-Q8_0-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

SGLang

How to use roleplaiapp/ALIA-40b-Q8_0-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 "roleplaiapp/ALIA-40b-Q8_0-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "roleplaiapp/ALIA-40b-Q8_0-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "roleplaiapp/ALIA-40b-Q8_0-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "roleplaiapp/ALIA-40b-Q8_0-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use roleplaiapp/ALIA-40b-Q8_0-GGUF with Ollama:
```
ollama run hf.co/roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0
```

Unsloth Studio

How to use roleplaiapp/ALIA-40b-Q8_0-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 roleplaiapp/ALIA-40b-Q8_0-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 roleplaiapp/ALIA-40b-Q8_0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for roleplaiapp/ALIA-40b-Q8_0-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use roleplaiapp/ALIA-40b-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0
```

Lemonade

How to use roleplaiapp/ALIA-40b-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull roleplaiapp/ALIA-40b-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.ALIA-40b-Q8_0-GGUF-Q8_0

List all available models

lemonade list

roleplaiapp commited on Jan 22, 2025

Commit

33267b4

verified ·

1 Parent(s): 6de495c

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+---
+library_name: transformers
+pipeline_tag: text-generation
+language:
+- bg
+- ca
+- code
+- cs
+- cy
+- da
+- de
+- el
+- en
+- es
+- et
+- eu
+- fi
+- fr
+- ga
+- gl
+- hr
+- hu
+- it
+- lt
+- lv
+- mt
+- nl
+- nn
+- \no
+- oc
+- pl
+- pt
+- ro
+- ru
+- sh
+- sk
+- sl
+- sr
+- sv
+- uk
+datasets:
+- oscar-corpus/colossal-oscar-1.0
+- HuggingFaceFW/fineweb-edu
+- joelniklaus/eurlex_resources
+- joelniklaus/legal-mc4
+- projecte-aina/CATalog
+- UFRGS/brwac
+- community-datasets/hrwac
+- danish-foundation-models/danish-gigaword
+- HiTZ/euscrawl
+- PleIAs/French-PD-Newspapers
+- PleIAs/French-PD-Books
+- AI-team-UoA/greek_legal_code
+- HiTZ/latxa-corpus-v1.1
+- allenai/peS2o
+- pile-of-law/pile-of-law
+- PORTULAN/parlamento-pt
+- hoskinson-center/proof-pile
+- togethercomputer/RedPajama-Data-1T
+- bigcode/starcoderdata
+- bjoernp/tagesschau-2018-2023
+- EleutherAI/the_pile_deduplicated
+tags:
+- llama-cpp
+- ALIA-40b
+- gguf
+- Q8_0
+- 40b
+- ALIA
+- 2-bit
+- llama-cpp
+- BSC-LT
+- code
+- math
+- chat
+- roleplay
+- text-generation
+- safetensors
+- nlp
+- code
+base_model: BSC-LT/ALIA-40b
+---
+# roleplaiapp/ALIA-40b-Q8_0-GGUF
+**Repo:** `roleplaiapp/ALIA-40b-Q8_0-GGUF`
+**Original Model:** `ALIA-40b`
+**Organization:** `BSC-LT`
+**Quantized File:** `alia-40b-q8_0.gguf`
+**Quantization:** `GGUF`
+**Quantization Method:** `Q8_0`
+**Use Imatrix:** `False`
+**Split Model:** `False`
+## Overview
+This is an GGUF Q8_0 quantized version of [ALIA-40b](https://huggingface.co/BSC-LT/ALIA-40b).
+## Quantization By
+I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models.
+I hope the community finds these quantizations useful.
+Andrew Webby @ [RolePlai](https://roleplai.app/)