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Jaskier 7B DPO V5.6 by bardsai

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  7b   Autotrain compatible Dataset:argilla/distilabel-mat...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Jaskier 7B DPO V5.6 Benchmarks

ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 89 vs 95.3 (gpt4)-6.6%
MMLU: 64.38 vs 88.3 (so35)-27.1%
TruthfulQA: 77.81 vs 59 (gpt4)31.9%
WinoGrande: 84.53 vs 87.5 (gpt4)-3.4%
GSM8K: 69.67 vs 96.4 (so35)-27.7%
LLME Score: 0.21548
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Jaskier 7B DPO V5.6 Parameters and Internals

LLM NameJaskier 7B DPO V5.6
Repository 🤗https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-08
Maintainerbardsai
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Jaskier 7B DPO V5.6 (bardsai/jaskier-7b-dpo-v5.6)

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Jaskier 7B DPO V5.6 GGUF41582 GB

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Note: green Score (e.g. "73.2") means that the model is better than bardsai/jaskier-7b-dpo-v5.6.

Rank the Jaskier 7B DPO V5.6 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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