Bases: OpenAILike
Llama LLM.
Examples:
pip install llama-index-llms-meta
from llama_index.llms.meta import LlamaLLM
# set api key in env or in llm
# import os
# os.environ["LLAMA_API_KEY"] = "your api key"
llm = LlamaLLM(
model="Llama-3.3-8B-Instruct", api_key="your_api_key"
)
resp = llm.complete("Who is Paul Graham?")
print(resp)
Source code in llama-index-integrations/llms/llama-index-llms-meta/llama_index/llms/meta/base.py
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54 | class LlamaLLM(OpenAILike):
"""
Llama LLM.
Examples:
`pip install llama-index-llms-meta`
```python
from llama_index.llms.meta import LlamaLLM
# set api key in env or in llm
# import os
# os.environ["LLAMA_API_KEY"] = "your api key"
llm = LlamaLLM(
model="Llama-3.3-8B-Instruct", api_key="your_api_key"
)
resp = llm.complete("Who is Paul Graham?")
print(resp)
```
"""
def __init__(
self,
model: str = "Llama-3.3-8B-Instruct",
api_key: Optional[str] = None,
api_base: str = "https://api.llama.com/compat/v1",
is_chat_model: bool = True,
# Slightly lower to account for tokenization defaults
context_window: int = 120000,
**kwargs: Any,
) -> None:
api_key = api_key or os.environ.get("LLAMA_API_KEY", None)
super().__init__(
model=model,
api_key=api_key,
api_base=api_base,
is_chat_model=is_chat_model,
context_window=context_window,
**kwargs,
)
@classmethod
def class_name(cls) -> str:
"""Get class name."""
return "LlamaLLM"
|
Get class name.
Source code in llama-index-integrations/llms/llama-index-llms-meta/llama_index/llms/meta/base.py
| @classmethod
def class_name(cls) -> str:
"""Get class name."""
return "LlamaLLM"
|
