Instructions to use mykor/PIXIE-Rune-v1.5-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mykor/PIXIE-Rune-v1.5-GGUF with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("mykor/PIXIE-Rune-v1.5-GGUF")

sentences = [
    "The weather is lovely today.",
    "It's so sunny outside!",
    "He drove to the stadium."
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mykor/PIXIE-Rune-v1.5-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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mykor/PIXIE-Rune-v1.5-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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mykor/PIXIE-Rune-v1.5-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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mykor/PIXIE-Rune-v1.5-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 mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mykor/PIXIE-Rune-v1.5-GGUF with Ollama:
```
ollama run hf.co/mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mykor/PIXIE-Rune-v1.5-GGUF with Docker Model Runner:
```
docker model run hf.co/mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M
```

Lemonade

How to use mykor/PIXIE-Rune-v1.5-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mykor/PIXIE-Rune-v1.5-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.PIXIE-Rune-v1.5-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

PIXIE-Rune-v1.5-GGUF / README.md

Bingsu

Upload folder using huggingface_hub

af57f5b verified 1 day ago

preview code

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	---
	tags:
	- sentence-transformers
	- sentence-similarity
	- dense-encoder
	- dense
	- feature-extraction
	- retrieval
	- multimodal
	- multi-modal
	- crossmodal
	- cross-modal
	- aerospace
	- telepix
	language:
	- af
	- ar
	- az
	- be
	- bg
	- bn
	- ca
	- ceb
	- cs
	- cy
	- da
	- de
	- el
	- en
	- es
	- et
	- eu
	- fa
	- fi
	- fr
	- gl
	- gu
	- he
	- hi
	- hr
	- ht
	- hu
	- hy
	- id
	- is
	- it
	- ja
	- jv
	- ka
	- kk
	- km
	- kn
	- ko
	- ky
	- lo
	- lt
	- lv
	- mk
	- ml
	- mn
	- mr
	- ms
	- my
	- ne
	- nl
	- pa
	- pl
	- pt
	- qu
	- ro
	- ru
	- si
	- sk
	- sl
	- so
	- sq
	- sr
	- sv
	- sw
	- ta
	- te
	- th
	- tl
	- tr
	- uk
	- ur
	- vi
	- yo
	- zh
	pipeline_tag: feature-extraction
	license: apache-2.0
	base_model: telepix/PIXIE-Rune-v1.5
	---

	# PIXIE-Rune-v1.5-GGUF

	`XLMRobertaModel` 모델을 GGUF로 변환하려면, [`sentencepiece.bpe.model`](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/resolve/main/sentencepiece.bpe.model) 파일을 함께 배포하면 됩니다.

	llama.cpp 저장소에 고정된 protobuf (>=4.21.0,<5.0.0) 버전에서는 [에러](https://github.com/protocolbuffers/protobuf/issues/12186)가 발생하므로, 파이썬 3.14이상에서는 변환이 실패합니다.