Bagel DPO 34B V0.2 By jondurbin: Benchmarks, Features and Detailed Analysis. Insights on Bagel DPO 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 Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2

Bagel DPO 34B V0.2 Benchmarks

ARC: 72.01 vs 96.7 (so35)^-25.5%

HellaSwag: 85.24 vs 95.3 (gpt4)^-10.6%

MMLU: 76.58 vs 88.3 (so35)^-13.3%

TruthfulQA: 70.16 vs 59 (gpt4)^18.9%

WinoGrande: 83.03 vs 87.5 (gpt4)^-5.1%

GSM8K: 59.97 vs 96.4 (so35)^-37.8%

LLME Score: 0.18179

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

What is the LLM Explorer Rank (Score)

Bagel DPO 34B V0.2 (jondurbin/bagel-dpo-34b-v0.2)

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Bagel DPO 34B V0.2 Parameters and Internals

LLM Name	Bagel DPO 34B V0.2
Repository 🤗	https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2
Model Size	34b
Required VRAM	69.2 GB
Updated	2025-09-23
Maintainer	jondurbin
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
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
Torch Data Type	bfloat16

Quantized Models of the Bagel DPO 34B V0.2

Model	Likes	Downloads	VRAM
Bagel DPO 34B V0.2 GGUF	10	296	14 GB
Bagel DPO 34B V0.2 AWQ	8	9	19 GB
Bagel DPO 34B V0.2 GPTQ	2	6	18 GB

Best Alternatives to Bagel DPO 34B V0.2

Best Alternatives	Context / RAM	Downloads	Likes
34B Beta	195K / 69.2 GB	9756	63
Bagel Hermes 34B Slerp	195K / 68.9 GB	9735	1
Smaug 34B V0.1	195K / 69.2 GB	9745	62
Yi 34B 200K	195K / 68.9 GB	11042	321
Casual Magnum 34B	195K / 68.8 GB	5	1
Bagel 34B V0.2	195K / 68.7 GB	4468	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	1872	12
Smaug 34B V0.1 ExPO	195K / 69.2 GB	9107	0
Faro Yi 34B	195K / 69.2 GB	9768	6
Bagel DPO 34B V0.5	195K / 68.7 GB	9076	17

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

Rank the Bagel DPO 34B V0.2 Capabilities

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

Release v20241124

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