Instructions to use HiDolen/Classical-Yinka-IQ4_XS-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HiDolen/Classical-Yinka-IQ4_XS-gguf with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("HiDolen/Classical-Yinka-IQ4_XS-gguf")

sentences = [
    "那是 個快樂的人",
    "那是 條快樂的狗",
    "那是 個非常幸福的人",
    "今天是晴天"
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use HiDolen/Classical-Yinka-IQ4_XS-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 HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS

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 HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS
# Run inference directly in the terminal:
./llama-cli -hf HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS

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 HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS

Use Docker

docker model run hf.co/HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS

LM Studio
Jan
Ollama
How to use HiDolen/Classical-Yinka-IQ4_XS-gguf with Ollama:
```
ollama run hf.co/HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS
```

Unsloth Studio

How to use HiDolen/Classical-Yinka-IQ4_XS-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 HiDolen/Classical-Yinka-IQ4_XS-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 HiDolen/Classical-Yinka-IQ4_XS-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for HiDolen/Classical-Yinka-IQ4_XS-gguf to start chatting

Docker Model Runner
How to use HiDolen/Classical-Yinka-IQ4_XS-gguf with Docker Model Runner:
```
docker model run hf.co/HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS
```

Lemonade

How to use HiDolen/Classical-Yinka-IQ4_XS-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull HiDolen/Classical-Yinka-IQ4_XS-gguf:IQ4_XS

Run and chat with the model

lemonade run user.Classical-Yinka-IQ4_XS-gguf-IQ4_XS

List all available models

lemonade list

Atomic Chat

通过 IQ4_XS 量化获得的 gguf 格式模型。原模型来自 https://huggingface.co/Classical/Yinka。

Downloads last month: 9

GGUF

Model size

0.3B params

Architecture

bert

Hardware compatibility

4-bit

Model tree for HiDolen/Classical-Yinka-IQ4_XS-gguf

Base model

Classical/Yinka

Quantized

(2)

this model