Bagel DPO 34B V0.5 is an open-source language model by jondurbin. Features: 34b LLM, VRAM: 68.7GB, Context: 195K, License: other, Instruction-Based, HF Score: 72.3, LLM Explorer Score: 0.18, Arc: 68.3, HellaSwag: 83.8, MMLU: 75.8, TruthfulQA: 65.1, WinoGrande: 82.4, GSM8K: 58.3.
Autotrain compatible Conversational Dataset:ai2 arc Dataset:allenai/ultrafeedback ... Dataset:argilla/distilabel-int... Dataset:b-mc2/sql-create-conte... Dataset:bluemoon-fandom-1-1-rp... Dataset:boolq Dataset:cakiki/rosetta-code Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:codeparrot/apps Dataset:facebook/belebele Dataset:glaiveai/glaive-functi... Dataset:grimulkan/limarp-augme... Dataset:jondurbin/airoboros-3.... Dataset:jondurbin/cinematika-v... Dataset:jondurbin/contextual-d... Dataset:jondurbin/gutenberg-dp... Dataset:jondurbin/py-dpo-v0.1 Dataset:jondurbin/truthy-dpo-v... Dataset:kingbri/pippa-sharegpt Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:mattpscott/airoboros-s... Dataset:migtissera/synthia-v1.... Dataset:muennighoff/natural-in... Dataset:open-orca/slimorca Dataset:openbookqa Dataset:parisneo/lollms aware ... Dataset:piqa Dataset:ropes Dataset:squad v2 Dataset:tiger-lab/mathinstruct Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth... Dataset:whiterabbitneo/wrn-cha... Dataset:whiterabbitneo/wrn-cha... Dataset:winogrande Dataset:wizardlm/wizardlm evol... Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5
Bagel DPO 34B V0.5 Benchmarks
ARC: 68.34 vs 96.7 (so35)-29.3%
HellaSwag: 83.8 vs 95.3 (gpt4)-12.1%
MMLU: 75.78 vs 88.3 (so35)-14.2%
TruthfulQA: 65.08 vs 59 (gpt4)10.3%
WinoGrande: 82.4 vs 87.5 (gpt4)-5.8%
GSM8K: 58.3 vs 96.4 (so35)-39.5%
LLME Score: 0.184
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 V0.5 Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | Bagel DPO 34B V0.5 |
| Repository 🤗 | https://huggingface.co/jondurbin/bagel-dpo-34b-v0.5 |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 68.7 GB |
| Updated | 2025-11-08 |
| Maintainer | jondurbin |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Bagel DPO 34B V0.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphin 2.2 Yi 34B 200K | 195K / 69.2 GB | 933 | 36 |
| Bagel 34B V0.5 | 195K / 68.7 GB | 17 | 8 |
| Bagel 34B V0.4 | 195K / 68.7 GB | 9 | 10 |
| Dolphin 2.2 Yi 34B 200K | 195K / 69.2 GB | 11 | 36 |
| ...gpt 32K Codellama 34B Instruct | 32K / 67.5 GB | 84 | 2 |
| CodeLlama 34B Instruct Hf | 16K / 67.5 GB | 13339 | 304 |
| Speechless Codellama 34B V2.0 | 16K / 67.5 GB | 549 | 17 |
| Speechless Codellama 34B V1.9 | 16K / 67.5 GB | 1752 | 0 |
| CodeLlama 34B Instruct Hf | 16K / 67.5 GB | 255 | 17 |
| Dolphin 2 2 Yi 34B | 16K / 68.9 GB | 57 | 93 |
Note: green Score (e.g. "73.2") means that the model is better than jondurbin/bagel-dpo-34b-v0.5 .
Rank the Bagel DPO 34B V0.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20241124