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Liberated Qwen1.5 72B AWQ by dannysemi

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  4-bit   Autotrain compatible   Awq   Conversational   Dataset:abacusai/systemchat   Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Liberated Qwen1.5 72B AWQ 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: 0.20949
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 AWQ Parameters and Internals

LLM NameLiberated Qwen1.5 72B AWQ
Repository 🤗https://huggingface.co/dannysemi/Liberated-Qwen1.5-72B-awq 
Base Model(s)  abacusai/Liberated-Qwen1.5-72B   abacusai/Liberated-Qwen1.5-72B
Model Size72b
Required VRAM41.3 GB
Updated2024-09-07
Maintainerdannysemi
Model Typeqwen2
Model Files  5.0 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   5.0 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   5.0 GB: 7-of-9   3.8 GB: 8-of-9   2.5 GB: 9-of-9
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Liberated Qwen1.5 72B AWQ (dannysemi/Liberated-Qwen1.5-72B-awq)

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

Rank the Liberated Qwen1.5 72B AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v2024072803
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