File size: 2,294 Bytes
6c9ce7f 3385c94 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc 6c9ce7f 2fb50bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | ---
license: apache-2.0
language: [multilingual]
tags: [embeddings, gguf, ggml, text-embeddings, xlm-r, crispembed, ollama]
pipeline_tag: feature-extraction
base_model: telepix/PIXIE-Rune-v1.0
---
# pixie-rune-v1 GGUF
GGUF format of [telepix/PIXIE-Rune-v1.0](https://huggingface.co/telepix/PIXIE-Rune-v1.0) for use with [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed) and [Ollama](https://ollama.com).
## Files
| File | Quantization | Size |
|------|-------------|------|
| [pixie-rune-v1-q4_k.gguf](https://huggingface.co/cstr/pixie-rune-v1-GGUF/resolve/main/pixie-rune-v1-q4_k.gguf) | Q4_K | 0 MB |
| [pixie-rune-v1-q8_0.gguf](https://huggingface.co/cstr/pixie-rune-v1-GGUF/resolve/main/pixie-rune-v1-q8_0.gguf) | Q8_0 | 0 MB |
| [pixie-rune-v1.gguf](https://huggingface.co/cstr/pixie-rune-v1-GGUF/resolve/main/pixie-rune-v1.gguf) | F32 | 0 MB |
**Recommended:** Q8_0 for quality (cos vs HF: cross-lingual OK), Q4_K for size (cross-lingual OK).
## Quick Start
### CrispEmbed
```bash
./crispembed -m pixie-rune-v1 "Hello world"
./crispembed-server -m pixie-rune-v1 --port 8080
```
### Ollama (with [CrispStrobe fork](https://github.com/CrispStrobe/ollama/tree/feat/xlmr-embedding))
```bash
echo "FROM pixie-rune-v1-q8_0.gguf" > Modelfile
ollama create pixie-rune-v1 -f Modelfile
curl http://localhost:11434/api/embed -d '{"model":"pixie-rune-v1","input":["Hello world"]}'
```
### Python (CrispEmbed)
```python
from crispembed import CrispEmbed
model = CrispEmbed("pixie-rune-v1-q8_0.gguf")
vectors = model.encode(["Hello world", "Goodbye world"])
```
## Model Details
| Property | Value |
|----------|-------|
| Architecture | XLM-R |
| Parameters | 560M |
| Embedding Dimension | 1024 |
| Layers | 24 |
| Pooling | CLS |
| Tokenizer | SentencePiece |
| Language | multilingual |
| Q8_0 vs HuggingFace | cross-lingual OK |
| Q4_K vs HuggingFace | cross-lingual OK |
## Server API
CrispEmbed server supports four API dialects:
- `POST /embed` -- native
- `POST /v1/embeddings` -- OpenAI-compatible
- `POST /api/embed` -- Ollama-compatible
- `POST /api/embeddings` -- Ollama legacy
## Credits
- Original model: [telepix/PIXIE-Rune-v1.0](https://huggingface.co/telepix/PIXIE-Rune-v1.0)
- Inference: [CrispEmbed](https://github.com/CrispStrobe/CrispEmbed) (MIT, ggml-based)
|