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Liberated Qwen1.5 14B by abacusai

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  Autotrain compatible   Conversational   Dataset:abacusai/systemchat   Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Pytorch   Qwen2   Region:us   Sharded

Liberated Qwen1.5 14B Benchmarks

MMLU Pro: 27.91
GPQA: 4.47
MUSR: 10.32
BBH: 28.02
IFEval: 36.31 vs 88 (so35)-58.7%
ARC: 57.94 vs 96.7 (so35)-40.1%
HellaSwag: 80.56 vs 95.3 (gpt4)-15.5%
MMLU: 68.81 vs 88.3 (so35)-22.1%
TruthfulQA: 52.37 vs 59 (gpt4)-11.2%
WinoGrande: 74.59 vs 87.5 (gpt4)-14.8%
GSM8K: 65.88 vs 96.4 (so35)-31.7%
MATH Lvl 5: 11.18
LLME Score: 0.31162
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 14B Parameters and Internals

LLM NameLiberated Qwen1.5 14B
Repository 🤗https://huggingface.co/abacusai/Liberated-Qwen1.5-14B 
Model Size14b
Required VRAM28.4 GB
Updated2024-10-18
Maintainerabacusai
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.5 GB: 6-of-6
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace
Liberated Qwen1.5 14B (abacusai/Liberated-Qwen1.5-14B)

Quantized Models of the Liberated Qwen1.5 14B

Model
Likes
Downloads
VRAM
Liberated Qwen1.5 14B 4bit199 GB

Best Alternatives to Liberated Qwen1.5 14B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B128K / 29.6 GB1935325
SuperNova Medius128K / 29.7 GB3081116
Rombos LLM V2.6 Qwen 14B128K / 29.7 GB50323
Qwen2.5 14B Uncencored128K / 29.7 GB72
...ony 14B V1.0 Experimental 1016128K /  GB174
EVA Qwen2.5 14B V0.1128K / 29.7 GB3218
EVA Qwen2.5 14B V0.0128K / 29.7 GB18912
...ony 14B V1.0 Experimental 1015128K / 29.7 GB192
Qwen2.5 14B Instruct32K / 29.6 GB9102976
Qwen1.5 14B Chat32K / 28.3 GB32274110
Note: green Score (e.g. "73.2") means that the model is better than abacusai/Liberated-Qwen1.5-14B.

Rank the Liberated Qwen1.5 14B 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v2024072803
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