File size: 2,139 Bytes
2714f76 daf97fa 6242856 daf97fa 6242856 daf97fa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
license: bsd
language:
- fa
tags:
- llama
- llama.cpp
- 7B
- Alpaca
- Quantize
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## How to run in `llama.cpp`
```
./main -t 10 -ngl 32 -m persian_llama_7b.Q4_K_M.gguf --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: یک شعر حماسی در مورد کوه دماوند بگو ### Input: ### Response:"
```
Change `-t 10` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
Tto have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`
## How to run in `text-generation-webui`
Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
## How to run using `LangChain`
##### Instalation on CPU
```
pip install llama-cpp-python
```
##### Instalation on GPU
```
CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python
```
```python
from langchain.llms import LlamaCpp
from langchain import PromptTemplate, LLMChain
from langchain.callbacks.manager import CallbackManager
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
n_gpu_layers = 40 # Change this value based on your model and your GPU VRAM pool.
n_batch = 512 # Should be between 1 and n_ctx, consider the amount of VRAM in your GPU.
n_ctx=2048
callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
# Make sure the model path is correct for your system!
llm = LlamaCpp(
model_path="./persian_llama_7b.Q4_K_M.gguf",
n_gpu_layers=n_gpu_layers, n_batch=n_batch,
callback_manager=callback_manager,
verbose=True,
n_ctx=n_ctx
)
llm("""### Instruction:
یک شعر حماسی در مورد کوه دماوند بگو
### Input:
### Response:""")
```
For more information refer [LangChain](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp)
|