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Liberated Qwen1.5 72B 4bit by mlx-community

 »  All LLMs  »  mlx-community  »  Liberated Qwen1.5 72B 4bit   URL Share it on

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Liberated-Qwen1.5-72B-4bit 

Liberated Qwen1.5 72B 4bit Benchmarks

ARC: 65.7 vs 96.7 (so35)-32.1%
HellaSwag: 84.58 vs 95.3 (gpt4)-11.2%
MMLU: 77.08 vs 88.3 (so35)-12.7%
TruthfulQA: 60.56 vs 59 (gpt4)2.6%
WinoGrande: 83.11 vs 87.5 (gpt4)-5%
GSM8K: 73.62 vs 96.4 (so35)-23.6%
LLME Score: 0.15799
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Liberated Qwen1.5 72B 4bit (mlx-community/Liberated-Qwen1.5-72B-4bit)
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Liberated Qwen1.5 72B 4bit Parameters and Internals

LLM NameLiberated Qwen1.5 72B 4bit
Repository 🤗https://huggingface.co/mlx-community/Liberated-Qwen1.5-72B-4bit 
Base Model(s)  abacusai/Liberated-Qwen1.5-72B   abacusai/Liberated-Qwen1.5-72B
Model Size72b
Required VRAM42.6 GB
Updated2025-08-18
Maintainermlx-community
Model Typeqwen2
Model Files  5.3 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.4 GB: 4-of-8   5.4 GB: 5-of-8   5.4 GB: 6-of-8   5.4 GB: 7-of-8   5.1 GB: 8-of-8
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Liberated-Qwen1.5-72B-4bit.

Rank the Liberated Qwen1.5 72B 4bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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