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Gemma 2B AQLM 2Bit 1x16 Hf by ISTA-DASLab

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Gemma 2B AQLM 2Bit 1x16 Hf is an open-source language model by ISTA-DASLab. Features: 2b LLM, VRAM: 1.7GB, Context: 8K, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2401.06118   2bit   Aqlm   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/ISTA-DASLab/gemma-2b-AQLM-2Bit-1x16-hf 

Gemma 2B AQLM 2Bit 1x16 Hf Benchmarks

LLME Score: 0.12393
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B AQLM 2Bit 1x16 Hf (ISTA-DASLab/gemma-2b-AQLM-2Bit-1x16-hf)
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Gemma 2B AQLM 2Bit 1x16 Hf Parameters and Internals

Model Type 
Text
Additional Notes 
AQLM quantization uses 1 codebook of 16 bits. Performance shows notable decline in benchmark scores under quantization.
LLM NameGemma 2B AQLM 2Bit 1x16 Hf
Repository 🤗https://huggingface.co/ISTA-DASLab/gemma-2b-AQLM-2Bit-1x16-hf 
Model Size2b
Required VRAM1.7 GB
Updated2026-03-29
MaintainerISTA-DASLab
Model Typegemma
Model Files  1.7 GB
Quantization Type2bit
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ISTA-DASLab/gemma-2b-AQLM-2Bit-1x16-hf.

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