superduper_llamacpp
Superduper allows users to work with self-hosted LLM models via Llama.cpp.
Installation
pip install superduper_llamacpp
API
| Class | Description |
|---|---|
superduper_llamacpp.model.LlamaCpp |
Llama.cpp connector. |
superduper_llamacpp.model.LlamaCppEmbedding |
Llama.cpp connector for embeddings. |
Examples
LlamaCpp
from superduper_llama_cpp.model import LlamaCpp
model = LlamaCpp(
identifier="llm",
model_name_or_path="mistral-7b-instruct-v0.2.Q4_K_M.gguf",
)
model.predict("Hello world")
1 maintainer
Metadata
1 maintainer
Release files for superduper-llamacpp 0.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| superduper_llamacpp-0.10.0.tar.gz | 12.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| superduper_llamacpp-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.3 kB
Release files / superduper_llamacpp-0.10.0.tar.gz
| Download URL | superduper_llamacpp-0.10.0.tar.gz |
|---|---|
| Size | 12.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | superduper_llamacpp-0.10.0-py3-none-any.whl |
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| Size | 11.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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