Supported large language models: the one hosted on groq
The rest is to come:
- anthropic (claude...)
- deepseek (deepseek-70b...)
- google (gemini...)
- meta (llama3.1-7b...)
- openai (gpt3.5...)
- qwen (34b...)
Usage example:
import llmpy as lm
question = 'how many r\'s in strawberry'
model = Model.LLAMA_3_3_70B
models = [
Model.LLAMA_3_3_70B,
Model.Deepseek
]
lm.ask(model, question)
lm.ask_many(models, question)
Metadata
Release files for llmpy-lib 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llmpy_lib-0.0.8.tar.gz | 57.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llmpy_lib-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 61.2 kB
Release files / llmpy_lib-0.0.8.tar.gz
| Download URL | llmpy_lib-0.0.8.tar.gz |
|---|---|
| Size | 57.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.1.0 CPython/3.10.16
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Release files / llmpy_lib-0.0.8-py3-none-any.whl
| Download URL | llmpy_lib-0.0.8-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.16
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