metadata
license: apache-2.0
base_model: unknown
tags:
- model-garden
- fine-tuned
- language-model
qwen-7b-arval-blocks-masked-01
Model fine-tuned with Model Garden. Base model: unknown
Model Details
- Base Model: unknown
- Fine-tuned with: Model Garden
- Training Date: unknown
- Model Type: unknown
Usage
With Model Garden
# Serve the model
uv run model-garden serve-model --model-path terra-cognita-ai/qwen-7b-arval-blocks-masked-01
# Generate text
uv run model-garden inference-generate \
--model-path terra-cognita-ai/qwen-7b-arval-blocks-masked-01 \
--prompt "Your prompt here"
With Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("terra-cognita-ai/qwen-7b-arval-blocks-masked-01")
tokenizer = AutoTokenizer.from_pretrained("terra-cognita-ai/qwen-7b-arval-blocks-masked-01")
# Generate text
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))
Training Details
This model was fine-tuned using Model Garden with the following configuration:
- Dataset: custom
- Training Steps: unknown
- LoRA Rank: unknown
Carbon Footprint
Training emissions: unknown gCO2eq
Generated with Model Garden