metadata
license: apache-2.0
language:
- en
tags:
- llm-rs
- ggml
pipeline_tag: text-generation
datasets:
- nomic-ai/gpt4all-j-prompt-generations
GGML converted version of Nomic AI GPT4All-J-v1.0 models
Description
An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and stories.
Converted Models
| Name | Based on | Type | Container | GGML Version |
|---|---|---|---|---|
| gpt4all-j-f16.bin | nomic-ai/gpt4all-j | F16 | GGML | V3 |
| gpt4all-j-q4_0.bin | nomic-ai/gpt4all-j | Q4_0 | GGML | V3 |
| gpt4all-j-q4_0-ggjt.bin | nomic-ai/gpt4all-j | Q4_0 | GGJT | V3 |
| gpt4all-j-q5_1.bin | nomic-ai/gpt4all-j | Q5_1 | GGML | V3 |
| gpt4all-j-q5_1-ggjt.bin | nomic-ai/gpt4all-j | Q5_1 | GGJT | V3 |
Usage
Python via llm-rs:
Installation
Via pip: pip install llm-rs
Run inference
from llm_rs import AutoModel
#Load the model, define any model you like from the list above as the `model_file`
model = AutoModel.from_pretrained("rustformers/gpt4all-j-ggml",model_file="gpt4all-j-q4_0-ggjt.bin")
#Generate
print(model.generate("The meaning of life is"))
Rust via Rustformers/llm:
Installation
git clone --recurse-submodules https://github.com/rustformers/llm.git
cd llm
cargo build --release
Run inference
cargo run --release -- gptj infer -m path/to/model.bin -p "Tell me how cool the Rust programming language is:"