A library encapsulating an inference engine based on a large language model, supporting both Chinese and English.
For command interpretation:
def intent_chat(self, prompt, symbol=False) For information retrieval and general conversation:
def model_chat(self, prompt, history=[], max_length=1024, top_p=0.7, temperature=0.1) These functions handle command interpretation (intent_chat) and facilitate information retrieval and general conversation (model_chat). The library supports both Chinese and English languages.
Metadata
Release files for AgentGLM 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| AgentGLM-1.0.1.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| AgentGLM-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.1 kB
Release files / AgentGLM-1.0.1.tar.gz
| Download URL | AgentGLM-1.0.1.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.10.0
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Release files / AgentGLM-1.0.1-py3-none-any.whl
| Download URL | AgentGLM-1.0.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.10.0
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