baalajimaestro/llama.cpp
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add support for llama2 70b

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bretello 2023-07-24 15:51:19 +02:00
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8
README.md
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@ -135,6 +135,14 @@ For instance, if you want to work with larger contexts, you can expand the conte
llm = Llama(model_path="./models/7B/ggml-model.bin", n_ctx=2048)
```
### Loading llama-2 70b
Llama2 70b must set the `n_gqa` parameter (grouped-query attention factor) to 8 when loading:
```python
llm = Llama(model_path="./models/7B/ggml-model.bin", n_gqa=8)
```
## Web Server
`llama-cpp-python` offers a web server which aims to act as a drop-in replacement for the OpenAI API.

3
llama_cpp/llama.py
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@ -216,6 +216,7 @@ class Llama:
embedding: bool = False,
n_threads: Optional[int] = None,
n_batch: int = 512,
n_gqa: Optional[int] = None, # must be 8 for llama2 70b
last_n_tokens_size: int = 64,
lora_base: Optional[str] = None,
lora_path: Optional[str] = None,
@ -260,6 +261,8 @@ class Llama:
self.params = llama_cpp.llama_context_default_params()
self.params.n_ctx = n_ctx
if n_gqa is not None:
self.params.n_gqa = n_gqa
self.params.n_gpu_layers = n_gpu_layers
self.params.seed = seed
self.params.f16_kv = f16_kv