Instructions to use tensorblock/aya-23-8B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/aya-23-8B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tensorblock/aya-23-8B-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tensorblock/aya-23-8B-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 tensorblock/aya-23-8B-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/aya-23-8B-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tensorblock/aya-23-8B-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf tensorblock/aya-23-8B-GGUF:Q2_K

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 tensorblock/aya-23-8B-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/aya-23-8B-GGUF:Q2_K

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 tensorblock/aya-23-8B-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/aya-23-8B-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/aya-23-8B-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/aya-23-8B-GGUF with Ollama:
```
ollama run hf.co/tensorblock/aya-23-8B-GGUF:Q2_K
```

Unsloth Studio

How to use tensorblock/aya-23-8B-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 tensorblock/aya-23-8B-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 tensorblock/aya-23-8B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/aya-23-8B-GGUF to start chatting

Docker Model Runner
How to use tensorblock/aya-23-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/aya-23-8B-GGUF:Q2_K
```

Lemonade

How to use tensorblock/aya-23-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/aya-23-8B-GGUF:Q2_K

Run and chat with the model

lemonade run user.aya-23-8B-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

morriszms commited on Jan 27

Commit

b17cf6d

verified ·

1 Parent(s): 1ad052e

Keep Q2_K/Q3_K_M gguf only

Browse files

Files changed (10) hide show

aya-23-8B-Q3_K_L.gguf +0 -3
aya-23-8B-Q3_K_S.gguf +0 -3
aya-23-8B-Q4_0.gguf +0 -3
aya-23-8B-Q4_K_M.gguf +0 -3
aya-23-8B-Q4_K_S.gguf +0 -3
aya-23-8B-Q5_0.gguf +0 -3
aya-23-8B-Q5_K_M.gguf +0 -3
aya-23-8B-Q5_K_S.gguf +0 -3
aya-23-8B-Q6_K.gguf +0 -3
aya-23-8B-Q8_0.gguf +0 -3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ab6f8d75347dbae382e7909bbd091911cf3427cff31e8dc696af352d93103316
-size 4527967968

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:74565591dd9126ce1f52797cdaf7bfaaa6d267f9533e771b206a616b4625bcab
-size 3870510816

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:958565a688c18ef3140452e3f0979396a139d018fa93e1a270a666a374f9b3c8
-size 4797452000

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:37733efdeb79311de02f81b6bb7e31ef3411d3b0a5e2fb584ad6ccac99a0ca4a
-size 5056974560

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c2d8a1abf5da285fa791f4be331415eee23e5b6ed57e8e6fe998072672ff3bf8
-size 4828909280