Ram07 / hbitnet-1b

huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: October 04 2025
text-generation

Introduction of hbitnet-1b

Model Details of hbitnet-1b

HBITNET-1B - H-BitLinear BitNet Model

1B parameters H-BitLinear BitNet model with 2-bit quantized weights. CUDA kernels with FWHT optimization.

Model Details
  • Architecture : H-BitLinear BitNet
  • Parameters : 1B parameters
  • Precision : 2-bit quantized + FP16
  • Framework : PyTorch
  • Training Data : FineWeb-Edu dataset
  • Hardware Optimization : CUDA kernels with FWHT (Fast Walsh-Hadamard Transform) optimization
  • Performance : Expected 2-4x speedup compared to standard BitNet implementation
Usage
Direct Usage with Hugging Face Transformers
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Load model and tokenizer
model_name = "Ram07/hbitnet-1b"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

# Generate text
prompt = "The future of artificial intelligence is"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_new_tokens=100,
    temperature=0.7,
    do_sample=True
)

generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(generated_text)
Using BitNet's Custom Inference Engine
from bitnet.inference import BitNetInferenceEngine

# Initialize inference engine
engine = BitNetInferenceEngine(
    model_path="Ram07/hbitnet-1b",
    device="cuda"  # or "cpu"
)

# Generate with custom parameters
output = engine.generate(
    prompt="In a world where technology advances rapidly,",
    max_length=50,
    temperature=0.8,
    top_p=0.9
)
print(output)
Model Configuration
{"vocab_size": 128256,
  "hidden_size": 1536,
  "num_hidden_layers": 20,
  "num_attention_heads": 16,
  "max_position_embeddings": 512,
  "quantization": {
    "weight_bits": 2,
    "activation_bits": 8
  },
  "hw_bitlinear": true,
  "fwht_optimization": true
}
Performance Benchmarks
Inference Speed
  • Tokens/sec : ~0.12-0.14 (CPU), Expected higher with CUDA
  • ** Time to First Token (TTFT)**: ~6-8 seconds
  • Memory Usage : Significantly reduced due to 2-bit quantization
  • CUDA Optimization : FWHT kernels provide hardware acceleration
Model Comparison
Model Parameters Hidden Size Layers Special Features
HBITNET-1B 1B parameters 1536 20 CUDA kernels with FWHT optimization
Use Cases
  • Text generation
  • Conversational AI
  • Few-shot learning
  • Research applications
  • Edge deployment
  • High-performance inference
Limitations
  • Language : Trained primarily on English text
  • Context Length : Limited to 512 tokens in current configuration
  • Quantization : 2-bit quantization may impact certain downstream tasks
  • Hardware : Optimized for NVIDIA GPUs with CUDA support
Citation
@misc{bitnetHBITNET-1B,
  title={H-BitLinear BitNet 1B parameters},
  author={Ram07},
  year={2024},
  publisher={Hugging Face},
  url={https://huggingface.co/Ram07/hbitnet-1b}
}
Repository Structure
Ram07/hbitnet-1b/
├── model.safetensors    # Main model weights (SafeTensors format)
├── config.json         # Model configuration
├── README.md           # This file
├── modelcard.yaml      # Model card metadata
└── repository.yaml     # Repository structure metadata
Licensing

This model is licensed under the Apache License 2.0. See the LICENSE file for details.

Contact

For questions about this model, please visit the BitNet GitHub repository or open an issue.


Generated on 2025-10-04

Runs of Ram07 hbitnet-1b on huggingface.co

0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About hbitnet-1b huggingface.co Model

More hbitnet-1b license Visit here:

https://choosealicense.com/licenses/apache-2.0

hbitnet-1b huggingface.co

hbitnet-1b huggingface.co is an AI model on huggingface.co that provides hbitnet-1b's model effect (), which can be used instantly with this Ram07 hbitnet-1b model. huggingface.co supports a free trial of the hbitnet-1b model, and also provides paid use of the hbitnet-1b. Support call hbitnet-1b model through api, including Node.js, Python, http.

hbitnet-1b huggingface.co Url

https://huggingface.co/Ram07/hbitnet-1b

Ram07 hbitnet-1b online free

hbitnet-1b huggingface.co is an online trial and call api platform, which integrates hbitnet-1b's modeling effects, including api services, and provides a free online trial of hbitnet-1b, you can try hbitnet-1b online for free by clicking the link below.

Ram07 hbitnet-1b online free url in huggingface.co:

https://huggingface.co/Ram07/hbitnet-1b

hbitnet-1b install

hbitnet-1b is an open source model from GitHub that offers a free installation service, and any user can find hbitnet-1b on GitHub to install. At the same time, huggingface.co provides the effect of hbitnet-1b install, users can directly use hbitnet-1b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

hbitnet-1b install url in huggingface.co:

https://huggingface.co/Ram07/hbitnet-1b

Url of hbitnet-1b

hbitnet-1b huggingface.co Url

Provider of hbitnet-1b huggingface.co

Ram07
ORGANIZATIONS

Other API from Ram07

huggingface.co

Total runs: 123
Run Growth: 123
Growth Rate: 100.00%
Updated:October 04 2025
huggingface.co

Total runs: 104
Run Growth: 104
Growth Rate: 100.00%
Updated:October 04 2025
huggingface.co

Total runs: 102
Run Growth: 102
Growth Rate: 100.00%
Updated:October 04 2025
huggingface.co

Total runs: 94
Run Growth: 94
Growth Rate: 100.00%
Updated:October 04 2025
huggingface.co

Total runs: 38
Run Growth: 38
Growth Rate: 100.00%
Updated:October 08 2025
huggingface.co

Total runs: 7
Run Growth: 3
Growth Rate: 50.00%
Updated:December 30 2023
huggingface.co

Total runs: 7
Run Growth: 6
Growth Rate: 100.00%
Updated:December 21 2023
huggingface.co

Total runs: 4
Run Growth: -18
Growth Rate: -450.00%
Updated:July 28 2025
huggingface.co

Total runs: 4
Run Growth: -12
Growth Rate: -300.00%
Updated:August 01 2025
huggingface.co

Total runs: 4
Run Growth: 2
Growth Rate: 50.00%
Updated:July 28 2025
huggingface.co

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:December 27 2023
huggingface.co

Total runs: 3
Run Growth: 1
Growth Rate: 33.33%
Updated:December 20 2023
huggingface.co

Total runs: 2
Run Growth: -4
Growth Rate: -200.00%
Updated:July 03 2024
huggingface.co

Total runs: 2
Run Growth: 2
Growth Rate: 66.67%
Updated:December 21 2023
huggingface.co

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:December 21 2023
huggingface.co

Total runs: 1
Run Growth: 2
Growth Rate: 100.00%
Updated:December 29 2023
huggingface.co

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:December 22 2023
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 21 2024
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:December 03 2024
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:July 28 2025
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 23 2024
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:July 25 2025
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:October 04 2025
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:July 03 2024
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 17 2024
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:July 28 2025
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 23 2024