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Tau 0.5B Instruct DPOP by M4-ai

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors

Tau 0.5B Instruct DPOP Benchmarks

ARC: 28.92 vs 96.7 (so35)-70.1%
HellaSwag: 43.63 vs 95.3 (gpt4)-54.2%
MMLU: 33.92 vs 88.3 (so35)-61.6%
TruthfulQA: 42.73 vs 59 (gpt4)-27.6%
WinoGrande: 57.06 vs 87.5 (gpt4)-34.8%
GSM8K: 6.97 vs 96.4 (so35)-92.8%
LLME Score: 0.23781
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tau 0.5B Instruct DPOP Parameters and Internals

LLM NameTau 0.5B Instruct DPOP
Repository 🤗https://huggingface.co/M4-ai/tau-0.5B-instruct-DPOP 
Model Size0.5b
Required VRAM0.9 GB
Updated2024-10-18
MaintainerM4-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  0.9 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace
Tau 0.5B Instruct DPOP (M4-ai/tau-0.5B-instruct-DPOP)

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Qwen2 0.5B Abyme Merge3128K / 1.3 GB60
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Reasoning 0.5B32K / 1 GB135423
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Qwen2.5 0.5B Test Ft32K / 1 GB3954
Replete LLM V2.5 Qwen 0.5B32K / 1.3 GB2022
...n2.5 0.5B Instruct Abliterated32K /  GB300
Note: green Score (e.g. "73.2") means that the model is better than M4-ai/tau-0.5B-instruct-DPOP.

Rank the Tau 0.5B Instruct DPOP Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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