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 about 20 hours ago

preview code

Raw

History Blame Contribute Delete

1.5 kB

metadata

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 파일을 함께 배포하면 됩니다.

llama.cpp 저장소에 고정된 protobuf (>=4.21.0,<5.0.0) 버전에서는 에러가 발생하므로, 파이썬 3.14이상에서는 변환이 실패합니다.