Nontoxic Bagel 34B V0.2 By jondurbin: Benchmarks, Features and Detailed Analysis. Insights on Nontoxic Bagel 34B V0.2.

Autotrain compatible Conversational Dataset:ai2 arc Dataset:allenai/ultrafeedback ... Dataset:boolq Dataset:cais/mmlu Dataset:cakiki/rosetta-code Dataset:codeparrot/apps Dataset:datasets/winogrande Dataset:drop Dataset:facebook/belebele Dataset:intel/orca dpo pairs Dataset:jondurbin/cinematika-v... Dataset:jondurbin/truthy-dpo-v... Dataset:julielab/emobank Dataset:kingbri/pippa-sharegpt Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:nvidia/helpsteer Dataset:open-orca/slimorca Dataset:openbookqa Dataset:piqa Dataset:spider Dataset:squad v2 Dataset:squish42/bluemoon-fand... Dataset:tiger-lab/mathinstruct Dataset:unalignment/spicy-3.1 Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Endpoints compatible License:other Llama Region:us Safetensors Sharded Tensorflow

Nontoxic Bagel 34B V0.2 Benchmarks

HF Avg Score: 74.69 vs 86.1 (GPT-4) ^-13.3%

ARC: 72.44^-24.8%

HellaSwag: 85.64^-10.1%

MMLU: 76.41^-11.7%

TruthfulQA: 72.7^23.2%

WinoGrande: 82.48^-5.7%

GSM8K: 58.45^-36.5%

^nn.n% — How the model compares to the GPT-4.

Rank the Nontoxic Bagel 34B V0.2 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

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 GGUF	3	231	14 GB
Nontoxic Bagel 34B V0.2 AWQ	2	6	19 GB
Nontoxic Bagel 34B V0.2 GPTQ	1	6	18 GB

Best Alternatives to Nontoxic Bagel 34B V0.2

Best Alternatives	HF Rank	Context/RAM	Downloads	Likes
SUS Chat 34B	85.03	8K / 68.9 GB	1712	119
UNA SimpleSmaug 34B V1beta	77.41	32K / 69.2 GB	1626	20
Smaug 34B V0.1	77.29	195K / 69.2 GB	3880	57
Luminex 34B V0.2	77.19	32K / 68.9 GB	173	11
Luminex 34B V0.1	77.06	195K / 68.9 GB	958	8
Pearl 34B Ties	75.48	195K / 67.8 GB	815	3
Bagel Hermes 34B Slerp	75.24	195K / 68.9 GB	3419	1
HermesBagel 34B V0.1	75.15	4K / 68.9 GB	824	1
Yi 34B X2	75.02	195K / 68.9 GB	813	0
Yi 1.5 34B Chat	74.82	4K / 69.2 GB	69571	188

Note: green Score (e.g. "73.2") means that the model is better than jondurbin/nontoxic-bagel-34b-v0.2.

Nontoxic Bagel 34B V0.2 Parameters and Internals

LLM Name	Nontoxic Bagel 34B V0.2
Repository	Open on 🤗
Model Size	34b
Required VRAM	68.7 GB
Updated	2024-07-01
Maintainer	jondurbin
Model Type	llama
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 Architecture	LlamaForCausalLM
License	other
Context Length	200000
Model Max Length	200000
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Initializer Range	0.02
Torch Data Type	bfloat16

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

Release v2024042801

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