
# Antler 7B

<img src="OIG3.UAjshTXCEJU.jpg" alt="drawing" style="width:512px;"/>

## Model Description

### GGUF version of [Antler-7B](https://huggingface.co/Elizezen/Antler-7B).

This is a 7B-parameter decoder-only Japanese language model fine-tuned on novel datasets, built on top of the base model Japanese Stable LM Base Gamma 7B. [Japanese Stable LM Instruct Gamma 7B](https://huggingface.co/stabilityai/japanese-stablelm-instruct-gamma-7b)

## Usage

Ensure you are using Transformers 4.34.0 or newer.

```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Elizezen/Antler-7B")
model = AutoModelForCausalLM.from_pretrained(
  "Elizezen/Antler-7B",
  torch_dtype="auto",
)
model.eval()

if torch.cuda.is_available():
    model = model.to("cuda")

input_ids = tokenizer.encode(
    "吾輩は猫である。名前はまだない",, 
    add_special_tokens=True, 
    return_tensors="pt"
)

tokens = model.generate(
    input_ids.to(device=model.device),
    max_new_tokens=512,
    temperature=1,
    top_p=0.95,
    do_sample=True,
)

out = tokenizer.decode(tokens[0][input_ids.shape[1]:], skip_special_tokens=True).strip()
print(out)
```

### Datasets

- less than 1GB of web novels(non-PG)
- 70GB of web novels(PG)

### Intended Use

The model is mainly intended to be used for generating novels. It may not be so capable with instruction-based responses.
{"language": ["ja"], "tags": ["causal-lm", "not-for-all-audiences", "nsfw"], "pipeline_tag": "text-generation"}
gguf causal-lm not-for-all-audiences nsfw text-generation ja region:us