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tiiuae / Falcon3-10B-Base-1.58bit-prequantized
Model's Last Updated: April 30 2026
text-generation
Introduction of Falcon3-10B-Base-1.58bit-prequantized
Model Details of Falcon3-10B-Base-1.58bit-prequantized
Table of Contents
TL;DR
Model Details
This is a 'hacked' version of
tiiuae/Falcon3-10B-Base-1.58bit
where model weight scales have been injected into ternary model weights in order to make the model compatible with fine-tuning
Model Description
- Developed by: https://www.tii.ae
- Model type: Causal decoder-only
- Architecture: Pure-transformer - 1.58bit version
- Language(s) (NLP): Mainly English
- License: TII Falcon License 2.0
Training details
The model has been trained following the training strategies from the recent 1-bit LLM HF blogpost and 1-bit LLM paper . For more details about the training protocol of this model, please refer to the Falcon-3 technical report, section Compression .
Usage
Currently to use this model you can either rely on Hugging Face transformers library or BitNet library. You can also play with the model using the falcon-1.58bit playground (only for the 7B instruct version).
🤗 transformers
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "tiiuae/Falcon3-10B-Base-1.58bit"
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
).to("cuda")
# Perform text generation
BitNet
git clone https://github.com/microsoft/BitNet && cd BitNet
pip install -r requirements.txt
python setup_env.py --hf-repo tiiuae/Falcon3-10B-Base-1.58bit -q i2_s
python run_inference.py -m models/Falcon3-10B-1.58bit/ggml-model-i2_s.gguf -p "You are a helpful assistant" -cnv
Evaluation
We report in the following table our internal pipeline benchmarks:
Note evaluation results are normalized score from v2 leaderboard tasks - reported results of original models in the blogpost are raw scores
| Benchmark | Llama3-8B-1.58-100B-tokens | Falcon3-10B-Base-1.58bit |
|---|---|---|
| IFEval | 17.91 | 24.89 |
| MUSR | 4.87 | 4.6 |
| GPQA | 1.83 | 1.83 |
| BBH | 5.36 | 4.44 |
| MMLU-PRO | 2.78 | 1.36 |
| MATH | 0.26 | 0.48 |
| Average | 5.5 | 6.27 |
Citation
Coming soon ..
Runs of tiiuae Falcon3-10B-Base-1.58bit-prequantized on huggingface.co
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More Information About Falcon3-10B-Base-1.58bit-prequantized huggingface.co Model
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Updated:October 12 2024
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