Bagel DPO 34B V0.2 4.65bpw H6 EXL2 by waldie

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Bagel DPO 34B V0.2 4.65bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Bagel DPO 34B V0.2 4.65bpw H6 EXL2 Parameters and Internals

LLM NameBagel DPO 34B V0.2 4.65bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/waldie/bagel-dpo-34b-v0.2-4.65bpw-h6-exl2 
Model Size34b
Required VRAM20.8 GB
Updated2024-11-13
Maintainerwaldie
Model Typellama
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   3.7 GB: 3-of-3   0.0 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Bagel DPO 34B V0.2 4.65bpw H6 EXL2 (waldie/bagel-dpo-34b-v0.2-4.65bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than waldie/bagel-dpo-34b-v0.2-4.65bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110