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Nontoxic Bagel 34B V0.2 by jondurbin

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Nontoxic Bagel 34B V0.2 Benchmarks

ARC: 72.44-24.8%
HellaSwag: 85.64-10.1%
MMLU: 76.41-11.7%
TruthfulQA: 72.723.2%
WinoGrande: 82.48-5.7%
GSM8K: 58.45-36.5%
nn.n% — How the model compares to the GPT-4.

Nontoxic Bagel 34B V0.2 Parameters and Internals

LLM NameNontoxic Bagel 34B V0.2
RepositoryOpen on 🤗 
Model Size34b
Required VRAM68.7 GB
Updated2024-07-27
Maintainerjondurbin
Model Typellama
Model Files  4.0 GB: 1-of-18   3.9 GB: 2-of-18   3.9 GB: 3-of-18   3.9 GB: 4-of-18   3.9 GB: 5-of-18   3.9 GB: 6-of-18   3.9 GB: 7-of-18   3.9 GB: 8-of-18   3.9 GB: 9-of-18   3.9 GB: 10-of-18   3.9 GB: 11-of-18   3.9 GB: 12-of-18   3.9 GB: 13-of-18   3.9 GB: 14-of-18   3.9 GB: 15-of-18   3.9 GB: 16-of-18   3.9 GB: 17-of-18   2.3 GB: 18-of-18
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Nontoxic Bagel 34B V0.2 (jondurbin/nontoxic-bagel-34b-v0.2)

Quantized Models of the Nontoxic Bagel 34B V0.2

Model
Likes
Downloads
VRAM
Nontoxic Bagel 34B V0.2 GGUF312514 GB
Nontoxic Bagel 34B V0.2 AWQ2819 GB
Nontoxic Bagel 34B V0.2 GPTQ1718 GB

Best Alternatives to Nontoxic Bagel 34B V0.2

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Yi 34B 200K0.3195K / 68.9 GB5247313
Smaug 34B V0.10.3195K / 69.2 GB318558
Yi 34B 200K AEZAKMI V20.3195K / 69.2 GB94812
Smaug 34B V0.1 ExPO0.3195K / 69.2 GB20850
Faro Yi 34B0.3195K / 69.2 GB27486
Bagel DPO 34B V0.50.3195K / 68.7 GB186117
Nous Capybara 34B0.3195K / 68.9 GB6259242
Yi 34B 200K HESOYAM 09050.3195K / 69.2 GB2400
Bagel DPO 34B V0.20.3195K / 69.2 GB276997
34B Beta0.3195K / 69.2 GB122159
Note: green Score (e.g. "73.2") means that the model is better than jondurbin/nontoxic-bagel-34b-v0.2.

Rank the Nontoxic Bagel 34B V0.2 Capabilities

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Instruction Following and Task Automation  
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Release v2024072501
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