Converted version of [gpt4all](https://github.com/nomic-ai/gpt4all) weights with ggjt magic for use in [llama.cpp](https://github.com/ggerganov/llama.cpp) or [pyllamacpp](https://github.com/nomic-ai/pyllamacpp).
Full credit goes to the [GPT4All project](https://github.com/nomic-ai/gpt4all).

## Usage via pyllamacpp

Installation: `pip install pyllamacpp`

Download and inference:

```python
from huggingface_hub import hf_hub_download
from pyllamacpp.model import Model

#Download the model
hf_hub_download(repo_id="LLukas22/gpt4all-lora-quantized-ggjt", filename="ggjt-model.bin", local_dir=".")

#Load the model
model = Model(ggml_model="ggjt-model.bin", n_ctx=2000)

#Generate
prompt="User: How are you doing?\nBot:"

result=model.generate(prompt,n_predict=50)
```
{"language": ["en"]}
en has_space region:us
TAGS
#en #has_space #region-us 

Converted version of gpt4all weights with ggjt magic for use in URL or pyllamacpp.
Full credit goes to the GPT4All project.

## Usage via pyllamacpp

Installation: 'pip install pyllamacpp'

Download and inference:


## Usage via pyllamacpp

Installation: 'pip install pyllamacpp'

Download and inference:
TAGS
#en #has_space #region-us 
 ## Usage via pyllamacpp

Installation: 'pip install pyllamacpp'

Download and inference:
TAGS
#en #has_space #region-us 
## Usage via pyllamacpp

Installation: 'pip install pyllamacpp'

Download and inference: