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Falcon Mamba 7B 4bit by tiiuae

By tiiuae · 16 downloads

Falcon Mamba 7B 4bit is an open-source language model by tiiuae. Features: 7b LLM, VRAM: 4.9GB, License: other, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2312.00752   Arxiv:2410.05355   4-bit   4bit Base model:quantized:tiiuae/fa... Base model:tiiuae/falcon-mamba...   Bitsandbytes Dataset:huggingfacefw/fineweb-... Dataset:tiiuae/falcon-refinedw...   En   Endpoints compatible   Falcon mamba   Quantized   Region:us   Safetensors

Falcon Mamba 7B 4bit Parameters and Internals

Model Type 
Causal decoder-only
Additional Notes 
Make sure to install 'bitsandbytes' and have a compatible GPU.
Supported Languages 
English (Mainly)
Training Details 
Data Sources:
tiiuae/falcon-refinedweb, HuggingFaceFW/fineweb-edu
Data Volume:
~ 5,500 GT
Methodology:
Multi-stage training strategy, context-length training from 2,048 up to 8,192.
Context Length:
8192
Training Time:
Roughly two months
Hardware Used:
256 H100 80GB GPUs
Model Architecture:
Mamba Architecture
LLM NameFalcon Mamba 7B 4bit
Repository πŸ€—https://huggingface.co/tiiuae/falcon-mamba-7b-4bit 
Base Model(s)  Falcon Mamba 7B   tiiuae/falcon-mamba-7b
Model Size7b
Required VRAM4.9 GB
Updated2026-07-12
Maintainertiiuae
Model Typefalcon_mamba
Model Files  4.9 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureFalconMambaForCausalLM
Licenseother
Transformers Version4.43.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than tiiuae/falcon-mamba-7b-4bit.