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Falcon Mamba 7B by tiiuae

By tiiuae · 140266 downloads

Falcon Mamba 7B is an open-source language model by tiiuae. Features: 7b LLM, VRAM: 14.6GB, License: other, LLM Explorer Score: 0.26.

  Arxiv:2312.00752   Arxiv:2410.05355 Dataset:huggingfacefw/fineweb-... Dataset:tiiuae/falcon-refinedw...   En   Endpoints compatible   Falcon mamba   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF πŸ€—: https://huggingface.co/tiiuae/falcon-mamba-7b 

Falcon Mamba 7B Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
intended for text generation
Supported Languages 
English (Main language)
Training Details 
Data Sources:
tiiuae/falcon-refinedweb, HuggingFaceFW/fineweb-edu
Data Volume:
~ 5,500 GT
Methodology:
multi-stage training to increase context-length, Curriculum Learning
Context Length:
8192
Training Time:
roughly two months
Hardware Used:
256 H100 80GB GPUs
Model Architecture:
Mamba architecture
Input Output 
Performance Tips:
Install optimized Mamba kernels with 'causal-conv1d>=1.4.0' and 'mamba-ssm'.
LLM NameFalcon Mamba 7B
Repository πŸ€—https://huggingface.co/tiiuae/falcon-mamba-7b 
Model Size7b
Required VRAM14.6 GB
Updated2026-06-24
Maintainertiiuae
Model Typefalcon_mamba
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureFalconMambaForCausalLM
Licenseother
Transformers Version4.43.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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