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---
base_model: jinaai/jina-embeddings-v2-base-code
license: apache-2.0
model_creator: jinaai
quantized_by: Second State Inc.
language: en
inference: false
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- transformers
- transformers.js
---
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# jina-embeddings-v2-base-code-GGUF
## Original Model
[jinaai/jina-embeddings-v2-base-code](https://huggingface.co/jinaai/jina-embeddings-v2-base-code)
## Run with LlamaEdge
- LlamaEdge version: [v0.14.17](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.17)
- Prompt template
- Prompt type: `embedding`
- Context size: `8192`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:jina-embeddings-v2-base-code-f16.gguf \
llama-api-server.wasm \
--prompt-template embedding \
--ctx-size 8192 \
--model-name jina-embeddings-v2-base-code
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [jina-embeddings-v2-base-code-Q2_K.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q2_K.gguf) | Q2_K | 2 | 82.7 MB| smallest, significant quality loss - not recommended for most purposes |
| [jina-embeddings-v2-base-code-Q3_K_L.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q3_K_L.gguf) | Q3_K_L | 3 | 101 MB| small, substantial quality loss |
| [jina-embeddings-v2-base-code-Q3_K_M.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q3_K_M.gguf) | Q3_K_M | 3 | 95.6 MB| very small, high quality loss |
| [jina-embeddings-v2-base-code-Q3_K_S.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q3_K_S.gguf) | Q3_K_S | 3 | 89.8 MB| very small, high quality loss |
| [jina-embeddings-v2-base-code-Q4_0.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q4_0.gguf) | Q4_0 | 4 | 105 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [jina-embeddings-v2-base-code-Q4_K_M.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q4_K_M.gguf) | Q4_K_M | 4 | 109 MB| medium, balanced quality - recommended |
| [jina-embeddings-v2-base-code-Q4_K_S.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q4_K_S.gguf) | Q4_K_S | 4 | 105 MB| small, greater quality loss |
| [jina-embeddings-v2-base-code-Q5_0.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q5_0.gguf) | Q5_0 | 5 | 119 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [jina-embeddings-v2-base-code-Q5_K_M.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q5_K_M.gguf) | Q5_K_M | 5 | 121 MB| large, very low quality loss - recommended |
| [jina-embeddings-v2-base-code-Q5_K_S.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q5_K_S.gguf) | Q5_K_S | 5 | 119 MB| large, low quality loss - recommended |
| [jina-embeddings-v2-base-code-Q6_K.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q6_K.gguf) | Q6_K | 6 | 134 MB| very large, extremely low quality loss |
| [jina-embeddings-v2-base-code-Q8_0.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-Q8_0.gguf) | Q8_0 | 8 | 173 MB| very large, extremely low quality loss - not recommended |
| [jina-embeddings-v2-base-code-f16.gguf](https://huggingface.co/second-state/jina-embeddings-v2-base-code-GGUF/blob/main/jina-embeddings-v2-base-code-f16.gguf) | f16 | 16 | 323 MB| very large, extremely low quality loss - not recommended |
*Quantized with llama.cpp b4273* |