stenml/BowLingual-12B-v1
BowLingual-12B-v1
BowLingual-12B-v1 is a fine-tuned version of google/gemma-4-12B-it, intended primarily for natural English-to-Thai conversational translation.
It targets informal messages such as LINE and Messenger chats, where literal textbook translation often sounds stiff or unnatural.
Intended use
- English-to-Thai conversational translation
- Informal, natural-sounding Thai messages
- Preserving tone, directness, and emotional intensity
- Prompt-driven translation pipelines
Usage
Install the dependencies:
pip install -U transformers torch accelerate
Example:
from transformers import AutoModelForMultimodalLM, AutoProcessor
model_id = "stenml/BowLingual-12B-v1"
processor = AutoProcessor.frompretrained(modelid) model = AutoModelForMultimodalLM.frompretrained( modelid, dtype="auto", device_map="auto", )
messages = [ { "role": "user", "content": "Translate into natural casual Thai: I'm almost home.", } ]
inputs = processor.applychattemplate( messages, tokenize=True, returndict=True, returntensors="pt", addgenerationprompt=True, enable_thinking=False, ).to(model.device)
output = model.generate(**inputs, maxnewtokens=256) generated = output[0][inputs["inputids"].shape[-1]:] print(processor.decode(generated, skipspecial_tokens=True))
Default generation settings
- Temperature:
1.0 - Top-p:
0.95 - Top-k:
64
Translation applications may benefit from lower-temperature or deterministic decoding, depending on the prompt and desired amount of stylistic variation.
Files
model.safetensors: full model weightstokenizer.json: Gemma 4 tokenizertokenizer_config.json: tokenizer and response parsing metadatachat_template.jinja: canonical Gemma 4 chat templateprocessor_config.json: multimodal processor configuration
The Q4KM GGUF release is available at stenml/BowLingual-12B-v1-GGUF.
Evaluation
No formal benchmark results are currently published for this release. Test it against representative conversational messages before production use.
Limitations
- Primarily intended for English-to-Thai conversational translation
- May produce inaccurate, unnatural, or overly literal translations
- May hallucinate information absent from the source
- Not validated for legal, medical, financial, or safety-critical translation
- Multimodal behavior has not been formally evaluated after fine-tuning
- Training-data and hyperparameter details are not currently published
License
Apache License 2.0, following the Gemma 4 base model metadata.
