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Llama2 70b support #522

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Jul 24, 2023
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8 changes: 8 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -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.
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3 changes: 3 additions & 0 deletions llama_cpp/llama.py
Original file line number Diff line number Diff line change
Expand Up @@ -216,6 +216,7 @@ def __init__(
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,
Expand Down Expand Up @@ -260,6 +261,8 @@ def __init__(

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
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