Store › model › Embeddings
jina-embeddings-v2-base-code-Q8_0-GGUF
by ggml-org · source Hugging Face · updated 2024-12-12
apache-2.0165 MB~1 GB RAMsource aliveunlabeled
ngxson/jina-embeddings-v2-base-code-Q80-GGUF This model was converted to GGUF format from jinaai/jina-embeddings-v2-base-code using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the origin…
Add to LogiShell Open in the web IDE
The button opens LogiShell with this card; nothing installs from a link by itself. Inside the app the install goes through lsh models install hf:ggml-org/jina-embeddings-v2-base-code-Q8_0-GGUF and its progress lives in the Resource Center.
Source and license
- Source: https://huggingface.co/ggml-org/jina-embeddings-v2-base-code-Q8_0-GGUF
- License: apache-2.0
- Requirements: about 1 GB of RAM, 165 MB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with llama.cpp.
- Tags:
sentence-transformersgguffeature-extractionsentence-similaritymtebllama-cppgguf-my-repoendataset:allenai/c4
Numbers
- 2,099 downloads on Hugging Face
- 2 likes
- license apache-2.0
- 0.2 GB for jina-embeddings-v2-base-code-q8_0.gguf
- 327,838 npm downloads a week for node-llama-cpp
- latest node-llama-cpp@3.22.1
Numbers as of 2026-10-02 21:00 UTC, from the source API.
Summary
Summary not ready yet: the numbers are here, the text is not. It is written by the collector through the LogiShell model facade when a provider key is present.
Reviews
No reviews yet. Reviews are written inside LogiShell: open this card in the app.
Files
| file | quant | size |
|---|---|---|
jina-embeddings-v2-base-code-q8_0.gguf | Q8_0 | 165 MB |
From the source README
# ngxson/jina-embeddings-v2-base-code-Q8_0-GGUF
This model was converted to GGUF format from `jinaai/jina-embeddings-v2-base-code` using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cppInvoke the llama.cpp server or the CLI.### CLI:
```bash
llama-cli --hf-repo ngxson/jina-embeddings-v2-base-code-Q8_0-GGUF --hf-file jina-embeddings-v2-base-code-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo ngxson/jina-embeddings-v2-base-code-Q8_0-GGUF --hf-file jina-embeddings-v2-base-code-q8_0.gguf -c 2048
```
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo ngxson/jina-embeddings-v2-base-code-Q8_0-GGUF --hf-file jina-embeddings-v2-base-code-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo ngxson/jina-embeddings-v2-base-code-Q8_0-GGUF --hf-file jina-embeddings-v2-base-code-q8_0.gguf -c 2048
```
Source: https://huggingface.co/ggml-org/jina-embeddings-v2-base-code-Q8_0-GGUF
Card id model:hf:ggml-org/jina-embeddings-v2-base-code-Q8_0-GGUF · collected 2026-10-02 21:00 UTC · JSON